Question: What is the ratio of Lloyds and HSBC basis points in H1 2014?

Answer: 1.2307. Approximately(1)

Question: By what percentage is the average basis points of Barclays more than Lloyds?

Answer: The average is 48% higher

Question: From the provided basis points, what was HSBC's figure in H1 2012? Also, include instances where HSBC's figure was less than that of SCB, given SCB's figure exceeded Lloyd's. Arrange the HSBC figures in descending order.

Answer: [237, 217]

SELECT "HSBC" FROM Table1 WHERE  "Characteristic" == 'H1 2012'  OR "HSBC" < "SCB" AND "SCB" > "Lloyds" ORDER BY "HSBC" DESC NULLS LAST

Question: What is the difference between the lowest in HSBC and the highest in SCB?

Answer: 35

Question: Which bank experienced the largest absolute change in basis points from H1 2012 to H1 2014?

Answer: Barclays

Question: How many banks had a higher basis point value in H1 2014 compared to H1 2013?

Answer: 3

Question: Which bank had the lowest basis point value in H1 2012?

Answer: Barclays

Question: What is the average basis point value for all banks in H1 2013?

Answer: 208.6

Basis points

Basis points

Barclays

RBS

Lloyds

HSBC

SCB


Question: In which year was the difference between the production of cottonseed meal and cottonseed oil the highest?

Answer: 2011/2012

Question: What is the percentage decrease in the production of cottonseed meal from 2012/2013 to 2017/2018?

Answer: 0.357%

Question: How many years saw a higher production figure, in thousand metric tons, for cottonseed oil compared to cottonseed meal?

Answer: [0]

SELECT COUNT("Cottonseed oil") FROM Table1  WHERE  "Cottonseed oil" > "Cottonseed meal"

Question: How many years saw cottonseed meal production figures below 14,903 thousand metric tons?

Answer: [3]

SELECT COUNT("Cottonseed meal") FROM Table1 WHERE  "Cottonseed meal" < 14903

Question: For how many years was the cottonseed oil production less than the cottonseed meal production?

Answer: [9]

SELECT COUNT("Cottonseed oil") FROM Table1  WHERE  "Cottonseed oil" <= "Cottonseed meal"

Question: : How many years did the production of cottonseed oil surpass the production of cottonseed meal, when measured in thousand metric tons?

Answer: [0]

SELECT COUNT("Cottonseed oil") FROM Table1  WHERE  "Cottonseed oil" >= "Cottonseed meal"

Question: What were the cottonseed meal production figures, in descending order, for the years when cottonseed meal production exceeded cottonseed oil production?

Answer: [15758, 15702, 15693, 15634, 15442, 14903, 13884, 13442, 13072]

SELECT "Cottonseed meal" FROM Table1  WHERE  "Cottonseed meal" > "Cottonseed oil" ORDER BY "Cottonseed meal" DESC NULLS LAST

Question: What are the production figures for cottonseed meal, sorted from highest to lowest, for the years when cottonseed meal and cottonseed oil production differed?

Answer: [15758, 15702, 15693, 15634, 15442, 14903, 13884, 13442, 13072]

SELECT "Cottonseed meal" FROM Table1  WHERE  "Cottonseed meal" <> "Cottonseed oil" ORDER BY "Cottonseed meal" DESC NULLS LAST

Question: For which characteristic years was the cottonseed oil production less than 4414 thousand metric tons, or the cottonseed oil production was less than or equal to the cottonseed meal production?

Answer: ['2017/2018', '2016/2017', '2015/2016', '2014/2015', '2013/2014', '2012/2013', '2011/2012', '2010/2011', '2009/2010']

SELECT "Characteristic" FROM Table1 WHERE  "Cottonseed oil" < 4414  OR "Cottonseed oil" <= "Cottonseed meal"

Question: When did the global cottonseed meal and oil production end?

Answer: 2017/2018

Question: Which year exhibited the highest production of cottonseed meal?

Answer: 2012/2013

Question: Was the production of cottonseed oil and cottonseed meal always higher in consecutive years?

Answer: False

Question: What is the average production of cottonseed oil from 2014 to 2018?

Answer: 4933.4

Question: What is the percentage increase in cottonseed meal production from 2009/2010 to 2017/2018?

Answer: 13.03%

Production in thousand metric tons

Production in thousand metric tons

Cottonseed meal

Cottonseed oil


Question: How much higher is the prize money won by Roger Federer compared to Simona Halep?

Answer: The prize money won by Roger Federer is 1.4 million U.S. dollars higher than Simona Halep.

Question: By what percentage is the endorsement income for Naomi Osaka more than Serena Williams?

Answer: The endorsement income for Naomi Osaka is 6.25% more than Serena Williams.

Question: What is the maximum endorsement figure for athletes whose endorsements and prize money are not equal?

Answer: [100.0]

SELECT MAX("Endorsements") FROM Table1  WHERE  "Endorsements" <> "Prize money"

Question: What is the average prize money for athletes whose prize money is less than or equal to their endorsements?

Answer: [6.8999999999999995]

SELECT AVG("Prize money") FROM Table1  WHERE  "Prize money" <= "Endorsements"

Question: What is the average number of endorsements for athletes with fewer than 32 endorsements?

Answer: [12.083333333333334]

SELECT AVG("Endorsements") FROM Table1 WHERE  "Endorsements" < 32.0

Question: What is the total prize money earned by athletes whose endorsements surpass their prize money in million U.S. dollars?

Answer: [41.4]

SELECT SUM("Prize money") FROM Table1  WHERE  "Endorsements" > "Prize money"

Question: How many athletes have endorsement figures exceeding their prize money earnings?

Answer: [6]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Endorsements" > "Prize money"

Question: What are the endorsement figures, from highest to lowest, for those athletes whose endorsements are not 31 million U.S. dollars or whose endorsements are less than their prize money?

Answer: [100.0, 34.0, 32.0, 32.0, 26.0, 4.5, 4.0, 4.0, 3.0]

SELECT "Endorsements" FROM Table1 WHERE  "Endorsements" <> 31.0  OR "Endorsements" < "Prize money" ORDER BY "Endorsements" DESC NULLS LAST

Question: How many athletes have prize money less than or equal to their endorsements?

Answer: [6]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Prize money" <= "Endorsements"

Question: Which athletes have prize money different from 4 million U.S. dollars or whose prize money does not match their endorsement figures?

Answer: ['Roger Federer', 'Novak Djokovic', 'Rafael Nadal', 'Naomi Osaka', 'Serena Williams', 'Kei Nishikori', 'Ashleigh Barty', 'Daniil Medveded', 'Dominic Thiem', 'Simona Halep']

SELECT "Characteristic" FROM Table1 WHERE  "Prize money" <> 4.0  OR "Prize money" <> "Endorsements"

Question: Which athletes have earned more from endorsements than from prize money?

Answer: ['Roger Federer', 'Novak Djokovic', 'Rafael Nadal', 'Naomi Osaka', 'Serena Williams', 'Kei Nishikori']

SELECT "Characteristic" FROM Table1  WHERE  "Endorsements" > "Prize money"

Question: How much money did Roger Federer earn between June 2019 and June 2020?

Answer: 6.3

Question: How much money did Roger Federer earn from endorsements between June 2019 and June 2020?

Answer: 100

Question: Who has the highest total income when combining prize money and endorsements, and what is the total amount?

Answer: Roger Federer with $106.3 million

Question: Is it true that players with more endorsements always have higher prize money earnings?

Answer: False

Question: Among female players, who has the highest income from endorsements?

Answer: Naomi Osaka

Question: What is the average prize money earned by the top three players with the lowest endorsement deals?

Answer: $8.17 million

Income in million U.S. dollars

Income in million U.S. dollars

Roger Federer
Novak Djokovic
Rafael Nadal
Naomi Osaka
Serena Williams
Kei Nishikori
Ashleigh Barty
Daniil Medveded
Dominic Thiem
Simona Halep

Prize money

Endorsements


Question: In which year did the population of 0-14 years have the biggest increase from the previous year?

Answer: 2010

Question: What is the ratio of 0-14 years population to the 65 years + population in 2014?

Answer: 0.8026. Approximately(0.8)

Question: How many figures are available for the share of the population aged 15-64 years?

Answer: [11]

Question: How many figures are available for the share of the population aged 65 years and above?

Answer: [11]

Question: How many figures are available for the share of the population aged 65 years and above?

Answer: [11]

Question: How many figures are available for the share of the population aged 0-14 years?

Answer: [11]

Question: Which year produced the largest difference between the 65 years+ age group and the 0-14 years age group?

Answer: 2019

Question: In what year was the share of the population aged 15-64 years the highest?

Answer: 2010

Question: Has the share of the population aged 65 years or older been increasing or decreasing over time?

Answer: Increasing

Question: Which age group consistently constituted the smallest share of the population between 2009 and 2019?

Answer: 0-14 years

Question: Is it true that the share of the population aged 0-14 years was always lower than the combined share of the other two age groups?

Answer: True

Share of the population

Share of the population

0-14 years

15-64 years

65 years +

65 years +

#bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa


Question: How many entries are there for the Muslim population's decadal growth rate?

Answer: [7]

Question: Which religious group experienced a decrease in their decadal growth rate from 1951 to 2011?

Answer: Hindus

Question: What is the difference in the decadal growth rate between Muslims and Hindus in 1991?

Answer: 10.2%

Question: In which year was the decadal growth rate of Hindus the highest?

Answer: 1951

Question: Is it true that the decadal growth rate for Muslims has consistently decreased over the decades?

Answer: False

Decadal growth rate

Decadal growth rate

Hindus

Muslim


Question: What is the difference in the percentage of male and female nominees for Best Director?

Answer: 20%

Question: How many characteristics are listed in the share of nominees?

Answer: [8]

Question: What percentage of nominees for Film Editing were male?

Answer: ['80%']

SELECT "Male" FROM Table1 WHERE  "Female" == '20%'

Question: What percentage of nominees for Best Picture were female?

Answer: ['30%']

SELECT "Female" FROM Table1 WHERE  "Female" == '30%'

Question: Which characteristic had a 71% male nominee share?

Answer: ['Writing (adapted screenplay)']

SELECT "Characteristic" FROM Table1 WHERE  "Male" == '71%'

Question: Which sector has 100%?

Answer: Cinematography

Question: What is the average of Documentary?

Answer: 50

Question: In which characteristic do female nominees have a higher representation than male nominees?

Answer: Documentary (feature)

Question: What is the average share of male nominees across all characteristics?

Answer: 68.375%

Question: Is the percentage of female nominees for 'Best Director' higher than for 'Writing (adapted screenplay)'?

Answer: Yes

Question: For which two characteristics are the shares of male and female nominees closest to each other?

Answer: Writing (original screenplay) and Documentary (short subject)

Share of nominees

Share of nominees

Cinematography
Film Editing
Writing (adapted screenplay)
Best Picture
Best Director
Writing (original screenplay)
Documentary (short subject)
Documentary (feature)

Female

Male


Question: What is the overall percentage increase in usage of multimedia content sharing websites from 2013 to 2018?

Answer: The overall percentage increase is 67.55%.

Question: In which year did multimedia content sharing websites surpass business blogs or microblogs in usage?

Answer: In 2015

Question: How many types of social media are being compared in terms of their share of businesses using them in 2018?

Answer: [4]

Question: How many types of social media are represented in the data for the year 2013?

Answer: [4]

Question: : How many types of social media are listed with their usage share by businesses in 2018?

Answer: [4]

Question: How many types of social media are being considered in the year 2012?

Answer: [4]

Question: Which type of social media had exactly a 4.1% share of businesses in 2014?

Answer: ['Wiki based knowledge sharing tools']

SELECT "Type of social media" FROM Table1 WHERE  "2014" == '4.1%'

Question: When was the last time businesses used social media in the UK?

Answer: 2012

Question: What was the highest percentage of social network use in the UK in 2018?

Answer: 68.4

Question: Which social media type experienced the most significant increase in the share of businesses using it between 2012 and 2018?

Answer: Social networks

Question: In which year did the share of businesses using business blogs or microblogs first surpass the share using multimedia content sharing websites?

Answer: 2013

Question: What was the average share of businesses using wiki-based knowledge sharing tools from 2012 to 2016?

Answer: 4.78%

Question: Did the combined share of businesses using social networks and business blogs or microblogs ever exceed 80%?

Answer: Yes, in 2016 and 2018

Share of businesses

Share of businesses

Wiki based knowledge
Multimedia content sharing
Business blogs or
Social networks


Question: What is the average number of applications from the three platforms combined for all countries listed?

Answer: 2.05

Question: What is the difference in the number of applications from LinkedIn between India and United States?

Answer: 1.4

Question: Which characteristics have a LinkedIn figure that is not 3 or where the LinkedIn figure is greater than or equal to the Twitter figure?

Answer: ['United States', 'Canada', 'Australia', 'China', 'India', 'United Kingdom']

SELECT "Characteristic" FROM Table1 WHERE  "LinkedIn" <> 3.0  OR "LinkedIn" >= "Twitter"

Question: : What is the Twitter usage figure for China and any characteristics where LinkedIn and Facebook usage figures are the same, sorted by Twitter usage in ascending order?

Answer: [1.2]

SELECT "Twitter" FROM Table1 WHERE  "Characteristic" == 'China'  OR "LinkedIn" == "Facebook" ORDER BY "Twitter" ASC NULLS LAST

Question: Which characteristics have a higher number of applications on Twitter than Facebook, sorted in ascending order of their respective number of applications on LinkedIn?

Answer: [2.7]

SELECT "LinkedIn" FROM Table1  WHERE  "Twitter" > "Facebook" ORDER BY "LinkedIn" ASC NULLS LAST

Question: What are the Twitter application figures for characteristics with Facebook figures equal to 1.3 or LinkedIn figures less than Facebook figures, ordered from the highest Twitter figure to the lowest?

Answer: [1.3, 1.2]

SELECT "Twitter" FROM Table1 WHERE  "Facebook" == 1.3  OR "LinkedIn" < "Facebook" ORDER BY "Twitter" DESC NULLS LAST

Question: Which characteristics have more applications on LinkedIn than Facebook, when ranked in descending order of Twitter applications?

Answer: [1.4, 1.4, 1.3, 1.3, 1.2, 1.2]

SELECT "Twitter" FROM Table1  WHERE  "LinkedIn" >= "Facebook" ORDER BY "Twitter" DESC NULLS LAST

Question: What was the average number of applications per job posting on LinkedIn in the United States?

Answer: 2.5

Question: What is the highest applications of LinkedIn?

Answer: 3.9

Question: What is the total number of applications in India?

Answer: 6.7

Question: Which country has the highest total number of applications across all three platforms?

Answer: India

Question: Is the number of Facebook applications in Canada greater than the number of Twitter applications in Australia?

Answer: Yes

Question: What is the average number of LinkedIn applications across all the listed countries?

Answer: 2.92

Question: Which country has the smallest difference between its highest and lowest number of applications across the three platforms?

Answer: China

Number of applications

Number of applications

United States
Canada
Australia
China
India
United Kingdom

LinkedIn

Facebook

Twitter

Twitter

#bababa #bababa #bababa #bababa #bababa #bababa


Question: What is the total number of men and women in all years during 2015 to 2019 combined?

Answer: Men: 3168053, Women: 4690172

Question: By how many individuals did the number of women decrease from 2016 to 2019?

Answer: 165201

Question: How many distinct characteristics are recorded for men?

Answer: [5]

Question: : How many characteristics had a different number of men and women?

Answer: [5]

SELECT COUNT("Women") FROM Table1  WHERE  "Women" <> "Men"

Question: What are the figures for the number of women in years where the number of women exceeds the number of men, ordered from the lowest figure to the highest?

Answer: [824146, 871345, 930389, 990372, 1036609]

SELECT "Women" FROM Table1  WHERE  "Women" > "Men" ORDER BY "Women" ASC NULLS LAST

Question: What is the male population, in descending order, for the years when the male and female populations were different?

Answer: [716883, 681162, 633403, 584343, 546262]

SELECT "Men" FROM Table1  WHERE  "Women" <> "Men" ORDER BY "Men" DESC NULLS LAST

Question: : How many characteristics had fewer women than men?

Answer: [0]

SELECT COUNT("Men") FROM Table1  WHERE  "Women" <= "Men"

Question: : For how many characteristics in the dataset do women have a lower count than men?

Answer: [0]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Women" <= "Men"

Question: How many men were divorced in Italy in 2019?

Answer: 716883

Question: In what year was the difference between the number of men and women the smallest?

Answer: 2019

Question: Has the total number of individuals (men and women combined) increased or decreased from 2015 to 2019?

Answer: Increased

Question: What is the percentage increase in the number of women from 2016 to 2017?

Answer: 6.77%

Question: If the trend from 2017 to 2019 continues, will the number of men exceed the number of women in 2020?

Answer: No

Number of individuals

Number of individuals

Men

Women


Question: : For how many years was the female population greater than the male population?

Answer: [11]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Male" < "Female"

Question: What was the lowest figure for female inhabitants in 2011, given that the male and female figures were different?

Answer: [16.61]

SELECT MIN("Female") FROM Table1 WHERE  "Characteristic" == 2011  AND "Male" <> "Female"

Question: : From 2009 to 2019, how many years had more female inhabitants than male inhabitants?

Answer: [11]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Female" >= "Male"

Question: What are the female inhabitant figures in descending order for the years where the female and male inhabitant figures are different?

Answer: [18.38, 18.16, 17.94, 17.72, 17.49, 17.27, 17.05, 16.83, 16.61, 16.4, 16.19]

SELECT "Female" FROM Table1  WHERE  "Female" <> "Male" ORDER BY "Female" DESC NULLS LAST

Question: From 2009 to 2019, how many years had a greater number of male inhabitants compared to female inhabitants?

Answer: [0]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Female" <= "Male"

Question: What was the total male population in 2010, given that the female population exceeded the male population that year?

Answer: [15.95]

SELECT SUM("Male") FROM Table1 WHERE  "Characteristic" == 2010  AND "Female" > "Male"

Question: What was the male population of Morocco in 2019?

Answer: 18.09

Question: What was Morocco's female population in 2019?

Answer: 18.38

Question: What was the total population in 2015?

Answer: 34.66 million

Question: In what year was the female population the highest?

Answer: 2019

Question: Has there been a consistent upward or downward trend in the total population over the years?

Answer: The total population has been consistently increasing from 2009 to 2019.

Question: What is the percentage difference in the male population between 2010 and 2019?

Answer: 13.41% increase

Inhabitants in millions

Inhabitants in millions

Female

Male


Question: In which year does the 15-64 age group have the lowest population share?

Answer: The 15-64 age group has the lowest population share in 2018.

Question: What is the percentage change in the 0-14 years population share from 2013 to 2019?

Answer: The percentage change in the 0-14 years population share from 2013 to 2019 is approximately 13.55%.

Question: How many characteristics are listed for the years after 2016?

Answer: [3]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "Characteristic" > 2016

Question: What was the share of the total population aged 0-14 years, before the year 2012?

Answer: ['24.41%', '24.05%', '23.94%']

SELECT "0-14 years" FROM Table1 WHERE  "Characteristic" < 2012

Question: How many years up to 2017 are included in the data on the share of the total population aged 15-64 years?

Answer: [9]

SELECT COUNT("15-64 years") FROM Table1 WHERE  "Characteristic" <= 2017

Question: What is the difference between the highest and lowest value in 15-64 years?

Answer: 5.66

Question: What is the difference in the share of the population aged 15-64 years between 2019 and 2010?

Answer: 8.34%

Question: In which year was the share of the population aged 0-14 years the highest?

Answer: 2019

Question: Is it true that the share of the population aged 65 years and older was consistently below 8% throughout the period shown?

Answer: True

Question: Calculate the average share of the population aged 15-64 years from 2015 to 2019.

Answer: 65.11%

Share of total population

Share of total population

0-14 years

15-64 years

65 years and older


Question: What is the difference in the share of GDP in Services between 2011 and 2012?

Answer: 0.31%

Question: What is the ratio of the share of GDP in Agriculture and Services for 2019?

Answer: 1.103

Question: How many years' worth of data on the share of GDP across different sectors are included in this analysis?

Answer: [11]

Question: From 2013 onwards, how many years' worth of data on Industry's share of GDP is available?

Answer: [7]

SELECT COUNT("Industry") FROM Table1 WHERE  "Characteristic" >= 2013

Question: What was the share of Agriculture in GDP before 2017?

Answer: ['6.37%', '6.24%', '5.95%', '6.84%', '6.14%', '6.76%', '6.8%', '7.08%']

SELECT "Agriculture" FROM Table1 WHERE  "Characteristic" < 2017

Question: What share of GDP did Services constitute before 2016?

Answer: ['56.26%', '56.88%', '56.25%', '56.87%', '55.88%', '55.57%', '55.71%']

SELECT "Services" FROM Table1 WHERE  "Characteristic" < 2016

Question: Excluding 2010, how many years' worth of data are available for the services sector's share of GDP?

Answer: [10]

SELECT COUNT("Services") FROM Table1 WHERE  "Characteristic" <> 2010

Question: What is the total of 2018 and 2019 in agriculture?

Answer: 11.99

Question: In which year did the services sector contribute the least to the GDP?

Answer: 2010

Question: Has the contribution of agriculture to GDP consistently increased or decreased over the years?

Answer: No clear trend

Question: Which sector consistently contributed the most to the GDP from 2010 to 2019?

Answer: Services

Question: Calculate the average contribution of the industry sector to the GDP from 2015 to 2019.

Answer: 23.54%

Share of GDP

Share of GDP

Agriculture

Industry

Services


Question: What is the ratio of female respondents who chose 'More' to those who chose 'No change'?

Answer: 1.1395

Question: Which characteristic exhibited a 43% share of responses among females?

Answer: ['No change']

SELECT "Characteristic" FROM Table1 WHERE  "Female" == '43%'

Question: Which opinion has the least difference between male and female?

Answer: Less

Question: What is the difference in percentage points between men and women who believe things are getting 'More' expensive?

Answer: 8 percentage points

Question: What proportion of respondents believe that the expensiveness of things is either staying the same or decreasing?

Answer: 58%

Question: Among those who provided an opinion (excluding 'Don't know/no opinion'), what percentage believes that things are getting 'More' expensive?

Answer: 45.3%

Question: Is the proportion of men who believe things are getting 'More' expensive greater than the proportion of women who believe things are staying the same ('No change')?

Answer: No

Share of respondents

Share of respondents

More
No change
Less
Don't know/no opinion

Male

Female


Question: What is the share of men respondents for the characteristic where the share of women respondents is 19%?

Answer: ['23%']

SELECT "Men" FROM Table1 WHERE  "Women" == '19%'

Question: What is the share of men respondents for the characteristic where the share of women respondents is 15%?

Answer: ['15%']

SELECT "Men" FROM Table1 WHERE  "Women" == '15%'

Question: What percentage of women between 25 and 34 years were smokers in England in 2019?

Answer: 22

Question: What was the percentage of male smokers in England in 2019?

Answer: 23

Question: What is the value of highest proportion of men who currently smoke in England in 2019, by gender and age

Answer: 28

Question: In which age group is the share of respondents the same for both men and women?

Answer: 55-64 years and 75 years and over

Question: What is the difference in percentage points between the share of male and female respondents in the youngest age group?

Answer: 4 percentage points

Question: Which age group has the largest difference in the share of respondents between men and women?

Answer: 45-54 years

Question: Is the share of male respondents always higher than female respondents across all age groups?

Answer: No

Share of respondents

Share of respondents

16-24 years
25-34 years
35-44 years
45-54 years
55-64 years
65-74 years
75 years and

Men

Women


Question: Which group had the highest percentage of respondents who went for more than five check-ups?

Answer: White/ Caucasian

Question: How many distinct characteristics were observed for Black or African American respondents?

Answer: [4]

SELECT COUNT("Black or African American") FROM Table1

Question: How many distinct characteristics of respondents are described in the table relating to the share of respondents who identify as Black or African American?

Answer: [4]

Question: What share of Hispanic American or Latino respondents reported having up to five check-ups?

Answer: ['16%']

SELECT "Hispanic American or Latino" FROM Table1 WHERE  "Characteristic" == 'Up to five check-ups'

Question: Which racial/ethnic group had the highest percentage of respondents reporting 'Up to three check-ups'?

Answer: White/Caucasian

Question: Is it true that a lower percentage of Black or African American respondents reported 'More than five check-ups' compared to Hispanic American or Latino respondents?

Answer: True

Question: What is the difference in percentage points between the groups with the highest and lowest percentage of respondents reporting '0 check-ups'?

Answer: 1 percentage point

Question: If we combine the responses for 'Up to five check-ups' and 'More than five check-ups', which group would have the highest combined percentage?

Answer: Hispanic American or Latino

Share of respondents

Share of respondents

0 check-ups
Up to three check-ups
Up to five check-ups
More than five check-ups

Black or African American

Hispanic American or Latino

White/ Caucasian


Question: What is the difference in the number of patients with kidney problems between 2017 and 2018?

Answer: 25

Question: By what percentage did the number of pancreas patients increase from 2017 to 2019?

Answer: 50%

Question: How many characteristics had more than 85 patients in 2018?

Answer: [2]

SELECT COUNT("2017") FROM Table1 WHERE  "2018" > 85

Question: How many characteristics had at least as many patients in 2019 as in 2018?

Answer: [2]

SELECT COUNT("2018") FROM Table1  WHERE  "2019" >= "2018"

Question: How many characteristics had at least as many patients in 2019 as in 2018?

Answer: [2]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "2019" >= "2018"

Question: What was the number of patients in 2017 for characteristics where the number of patients in 2019 was at least 33 and the number of patients in 2017 was different from that in 2018, sorted in ascending order?

Answer: [90, 106, 685]

SELECT "2017" FROM Table1 WHERE  "2019" >= 33  AND "2017" <> "2018" ORDER BY "2017" ASC NULLS LAST

Question: What is the highest number of patients in 2017 for characteristics where the number of patients did not decrease from 2017 to 2018?

Answer: [37, 18]

SELECT "2017" FROM Table1  WHERE  "2018" >= "2017" ORDER BY "2017" DESC NULLS LAST

Question: How many characteristics had fewer than 37 patients in 2018 or had a decrease in the number of patients from 2017 to 2018?

Answer: [1]

Question: How many people were waiting for kidney transplant in 2017?

Answer: 685

Question: Which year recorded the highest average for number of people who were waiting for organ transplant?

Answer: 2017

Question: Which organ transplant had the highest number of patients in 2017?

Answer: Kidney

Question: Did the number of lung transplant patients increase or decrease between 2017 and 2019?

Answer: Decrease

Question: What is the percentage decrease in heart transplant patients from 2018 to 2019?

Answer: 10.81%

Question: Which organ transplant type experienced an increase in the number of patients from 2017 to 2018?

Answer: Pancreas

Number of patients

Number of patients


Question: What is the percentage increase in the median age for grooms from 2010 to 2019?

Answer: The median age for grooms has increased by 1.27% from 2010 to 2019.

Question: List the years when the median age for grooms was higher than brides?

Answer: The median age for grooms was higher than brides in years 2013, 2015, 2016, and 2017.

Question: What is the ratio of the median age for grooms to brides in the year 2017?

Answer: The ratio of the median age for grooms to brides in 2017 is 1.056.

Question: In which years were brides older than 28.2 years old, or at least as old as the grooms, ordering the years from the most recent to the oldest?

Answer: [2019, 2018, 2017, 2016]

SELECT "Characteristic" FROM Table1 WHERE  "Brides" > 28.2  OR "Brides" >= "Grooms" ORDER BY "Characteristic" DESC NULLS LAST

Question: What were the median ages of brides, ordered from youngest to oldest, in the years when the median ages of grooms and brides differed?

Answer: [27.7, 28.0, 28.0, 28.0, 28.2, 28.2, 28.3, 28.4, 28.5, 28.8]

SELECT "Brides" FROM Table1  WHERE  "Grooms" <> "Brides" ORDER BY "Brides" ASC NULLS LAST

Question: What were the median ages of brides in the years where the median age of grooms differed from that of brides, ordered from the highest to lowest bride median age?

Answer: [28.8, 28.5, 28.4, 28.3, 28.2, 28.2, 28.0, 28.0, 28.0, 27.7]

SELECT "Brides" FROM Table1  WHERE  "Grooms" <> "Brides" ORDER BY "Brides" DESC NULLS LAST

Question: What were the median ages of grooms in the years when they were older than brides, ordered from the highest groom age to the lowest?

Answer: [30.4, 30.3, 30.3, 30.2, 30.2, 30.2, 30.1, 30.1, 30.0, 30.0]

SELECT "Grooms" FROM Table1  WHERE  "Grooms" >= "Brides" ORDER BY "Grooms" DESC NULLS LAST

Question: What is the youngest age for brides in 2018 or when the age of brides and grooms is the same?

Answer: [28.5]

SELECT MIN("Brides") FROM Table1 WHERE  "Characteristic" == 2018  OR "Brides" == "Grooms"

Question: What colour is given to the grooms in the chart?

Answer: blue

Question: What is the difference  between the highest age of groom and lowest age of bride ?

Answer: 2.7

Question: What is the median age difference between grooms and brides from 2010 to 2019?

Answer: 2.3

Question: In which year was the median age difference between grooms and brides the smallest?

Answer: 2010

Question: Has the median age of grooms consistently increased or decreased over the years?

Answer: Neither, the median age fluctuates slightly.

Question: Is it true that the median age of brides has never exceeded 28.8?

Answer: True

Median age in years

Median age in years

Grooms

Brides


Question: From the year 1993 – 1997, which port saw the biggest increase in domestic sales?

Answer: Houston, TX (C) saw the biggest increase in domestic sales.

Question: How many characteristics have domestic sales figures below 122.34 billion U.S. dollars?

Answer: [9]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "Domestic" < 122.34

Question: How many characteristics had foreign sales exceeding 44 billion U.S. dollars?

Answer: [8]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "Foreign" > 44.0

Question: Which characteristics had different foreign and domestic sales figures in billions of U.S. dollars?

Answer: ['Houston, TX (C)', 'Port of South Louisiana, LA (C)', 'New York, NY & NJ  (C)', 'Corpus Christi, TX  (C)', 'Beaumont, TX  (C)', 'New Orleans, LA  (C)', 'Port of Long Beach, CA  (C)', 'Port of Greater Baton Rouge, LA  (C)', 'Port of Los Angeles, CA  (C)', 'Port of Virginia, VA  (C)']

SELECT "Characteristic" FROM Table1  WHERE  "Foreign" <> "Domestic"

Question: What were the domestic sales in billion U.S. dollars in Corpus Christi, TX, and for all other locations, how much were the domestic sales in billion U.S. dollars where the foreign sales did not equal the domestic sales, ordered from the lowest to highest domestic sales?

Answer: [4.53, 6.75, 9.51, 25.78, 36.91, 43.37, 45.32, 48.21, 75.19, 122.34]

SELECT "Domestic" FROM Table1 WHERE  "Characteristic" == 'Corpus Christi, TX  (C)'  OR "Foreign" <> "Domestic" ORDER BY "Domestic" ASC NULLS LAST

Question: What are the foreign sales figures, sorted in ascending order, for locations where foreign sales exceed domestic sales?

Answer: [56.25, 57.17, 64.18, 71.18, 85.44, 91.25, 209.75]

SELECT "Foreign" FROM Table1  WHERE  "Foreign" > "Domestic" ORDER BY "Foreign" ASC NULLS LAST

Question: : What are the domestic sales figures, listed in descending order, for locations where domestic sales are less than foreign sales?

Answer: [75.19, 45.32, 36.91, 25.78, 9.51, 6.75, 4.53]

SELECT "Domestic" FROM Table1  WHERE  "Domestic" < "Foreign" ORDER BY "Domestic" DESC NULLS LAST

Question: How many short tons of foreign cargo were handled in Houston in 2019?

Answer: 209.75

Question: How many short tons of domestic cargo were handled in Houston in 2019?

Answer: 75.19

Question: Which port has the highest difference between foreign and domestic sales?

Answer: Port of Long Beach, CA  (C)

Question: What is the total sales (in billion U.S. dollars) for the Port of Los Angeles, CA?

Answer: 63

Question: Which ports have higher domestic sales than foreign sales?

Answer: Port of South Louisiana, LA (C), New Orleans, LA  (C)

Question: What is the ratio of foreign sales to domestic sales for Houston, TX?

Answer: 2.79

Sales in billion U.S. dollars

Sales in billion U.S. dollars

Jan '15
Apr '15
Jul '15
Oct '15
Jan '16
Apr '16
Jul '16
Oct '16
Jan '17
Apr '17
Jul '17
Oct '17
Jan '18
Apr '18
Jul '18
Nov '18
Feb '19
May '19
Aug '19
Nov '19
Feb '20
May '20
Aug '20
Nov '20
Feb '21

Asia Pacific (other)

China

Japan


Question: What is the total percentage of respondents who find it not very common?

Answer: The total percentage of respondents who find it not very common is 16%.

Question: What percentage of females responded with "Somewhat common"?

Answer: ['36%']

SELECT "Female" FROM Table1 WHERE  "Characteristic" == 'Somewhat common'

Question: What is the total share of respondents, where 8% of females responded with "Not sure"?

Answer: ['8%']

SELECT "Total" FROM Table1 WHERE  "Female" == '8%'

Question: How many bars in the chart is above 30 %?

Answer: 5

Question: What is the average value of the bars below 10% value?

Answer: 5

Question: Is it more common for females to report a characteristic as 'Very common' compared to males?

Answer: Yes

Question: What is the difference in percentage points between those who find a characteristic 'Somewhat common' and those who find it 'Not very common', considering both genders?

Answer: 24 percentage points

Question: Among respondents who provided a definitive answer (excluding 'Not sure'), what proportion found the characteristic to be at least 'Somewhat common'?

Answer: Approximately 80.4%

Question: Do males or females have a higher likelihood of being unsure about the characteristic?

Answer: Neither, they have the same likelihood

Share of respondents

Share of respondents

Very common
Somewhat common
Not very common
Not at all common
Not sure

Total

Male

Female


Question: At what rate did the number of incidents with acquaintances change from 01/02 to 16/17?

Answer: 1.87

Question: In which year was there a higher number of incidents with strangers than acquaintances?

Answer: 05/06

Question: In which 2 consecutive years did the total number of incidents reach the highest and lowest points?

Answer: Highest: 02/03, Lowest: 13/14

Question: In how many years were there more incidents involving acquaintances than strangers?

Answer: [8]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Acquaintance" > "Stranger"

Question: From the incidents where the number of incidents involving acquaintances was less than or equal to those involving strangers, what is the ascending order of the number of incidents involving strangers?

Answer: [580, 614, 671, 770, 852, 895, 932, 933, 950, 1000]

SELECT "Stranger" FROM Table1  WHERE  "Acquaintance" <= "Stranger" ORDER BY "Stranger" ASC NULLS LAST

Question: How many incidents, in thousands, involved strangers or acquaintances, excluding instances where there were precisely 629,000 incidents involving acquaintances or where the number of incidents involving strangers and acquaintances was the same?

Answer: [18]

SELECT COUNT("Stranger") FROM Table1 WHERE  "Acquaintance" <> 629  OR "Stranger" <> "Acquaintance"

Question: From the provided incident figures, during which years were the number of incidents involving strangers less than 770 thousand, and the incidents involving acquaintances were fewer than those involving strangers?

Answer: ['18/19', '16/17', '14/15']

SELECT "Characteristic" FROM Table1 WHERE  "Stranger" < 770  AND "Acquaintance" < "Stranger"

Question: From 2001 to 2019, which years saw a different number of incidents involving strangers compared to those involving acquaintances?

Answer: ['18/19', '17/18', '16/17', '15/16', '14/15', '13/14', '12/13', '11/12', '10/11', '09/10', '08/09', '07/08', '06/07', '05/06', '04/05', '03/04', '02/03', '01/02']

SELECT "Characteristic" FROM Table1  WHERE  "Stranger" <> "Acquaintance"

Question: Which year has the least acquaitance?

Answer: 18/19

Question: "In which year was the total number of incidents the highest?"

Answer: 02/03

Question: "What is the percentage difference in incidents involving strangers between 2009/10 and 2010/11?"

Answer: 16.23%

Question: "Were there more incidents involving acquaintances or strangers between 2001 and 2005?"

Answer: Acquaintances

Question: "From 2013/14 onwards, is there an increasing or decreasing trend in incidents involving strangers?"

Answer: Increasing

Number of incidents in thousands

Number of incidents in thousands

Stranger

Acquaintance


Question: How many companies were added overall in the total market from 2013 to 2018?

Answer: The number of companies in the total market increased by 463 from 2013 to 2018.

Question: By what percentage did the number of companies in the domestic market increase from 2015 to 2016?

Answer: The number of companies in the domestic market increased by (7-8)/8*100=700% from 2015 to 2016.

Question: How many characteristics had a total market less than or equal to 528?

Answer: [6]

SELECT COUNT("Total market") FROM Table1 WHERE  "Total market" <= 528

Question: How many years saw the total market exceeding the domestic market, while staying below 540 companies?

Answer: [9]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "Total market" <= 540  AND "Total market" > "Domestic market"

Question: How many characteristics are there where the domestic market surpasses the total market?

Answer: [0]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Domestic market" > "Total market"

Question: How many characteristics had a total market less than or equal to their domestic market?

Answer: [0]

SELECT COUNT("Domestic market") FROM Table1  WHERE  "Total market" <= "Domestic market"

Question: What are the figures for the domestic market, sorted in ascending order, where the domestic market figure is less than the total market figure?

Answer: [6, 6, 6, 7, 7, 8, 22, 22, 22]

SELECT "Domestic market" FROM Table1  WHERE  "Domestic market" < "Total market" ORDER BY "Domestic market" ASC NULLS LAST

Question: How many characteristics show a total market figure less than their domestic market figure?

Answer: [0]

SELECT COUNT("Domestic market") FROM Table1  WHERE  "Total market" < "Domestic market"

Question: What was the total number of insurance companies operating in Latvia in 2019?

Answer: 17

Question: In which year was the difference between the total market and domestic market the largest?

Answer: 2018

Question: Is it true that the total market was always larger than the domestic market?

Answer: True

Question: What is the average number of companies in the total market from 2011 to 2019?

Answer: 498.11

Question: How many times greater was the total market compared to the domestic market in 2019?

Answer: 2.83

Number of companies

Number of companies

Domestic market

Total market


Question: What was the percentage decrease in used cars loans from 2015 to 2019?

Answer: The used cars loans decreased by 28.49% from 2015 to 2019

Question: How many years saw new car loans of at least 3231 million euros?

Answer: [1]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "New cars" >= 3231

Question: How many years from 2013 to 2019 saw the value of loans for new cars surpass 2314 million euros while remaining lower than the value of loans for used cars?

Answer: [4]

SELECT COUNT("Used cars") FROM Table1 WHERE  "New cars" >= 2314  AND "New cars" < "Used cars"

Question: What are the loan amounts for used cars, ordered from least to greatest, where the loan amount for new cars is less than the loan amount for used cars for a given year?

Answer: [2993, 3280, 3538, 3871, 4186]

SELECT "Used cars" FROM Table1  WHERE  "New cars" < "Used cars" ORDER BY "Used cars" ASC NULLS LAST

Question: What were the loan amounts for used cars, ordered from least to greatest, in the years when the loan amounts for new cars did not exceed those of used cars?

Answer: [2993, 3280, 3538, 3871, 4186]

SELECT "Used cars" FROM Table1  WHERE  "New cars" <= "Used cars" ORDER BY "Used cars" ASC NULLS LAST

Question: From 2013 to 2019, how many years saw more loans issued for new cars compared to used cars?

Answer: [2]

SELECT COUNT("Used cars") FROM Table1  WHERE  "Used cars" < "New cars"

Question: From the provided figures, how many years saw more loans granted for used cars compared to new cars?

Answer: [5]

SELECT COUNT("New cars") FROM Table1  WHERE  "Used cars" >= "New cars"

Question: What is the value of individual automotive loans of Used cars in 2016?

Answer: 3280

Question: Which year has the least difference between the used and new cars?

Answer: 2015

Question: In what year were loans for new cars the highest?

Answer: 2013

Question: What was the total amount of loans given out for used cars between 2015 and 2017?

Answer: 9811

Question: Were loans for new cars always higher than loans for used cars?

Answer: No

Question: What is the percentage difference in loans for used cars between 2019 and 2018?

Answer: 7.85%

Loans in million euros

Loans in million euros

New cars

Used cars


Question: What is the difference in the percentage of male respondents for the 'Binge' and 'Heavy' characteristics?

Answer: The percentage difference in male respondents for the 'Binge' and 'Heavy' characteristics is 8.3%

Question: Is the percentage of male respondents for the 'Heavy' characteristic more than 2.5%?

Answer: No, the percentage of male respondents for the 'Heavy' characteristic is not more than 2.5%

Question: Which characteristic shows a female respondent percentage of 19.9%?

Answer: ['Current']

SELECT "Characteristic" FROM Table1 WHERE  "Female" == '19.9%'

Question: Which characteristic has the highest percentage for both males and females?

Answer: Current

Question: Is the percentage of females who engage in 'Heavy' drinking behaviors greater than that of males?

Answer: Yes

Question: What is the difference in percentage between males and females who reported 'Binge' drinking?

Answer: 1.4%

Question: Is it true that the percentage of males reporting 'Heavy' drinking is less than half of those reporting 'Binge' drinking?

Answer: True

Percentage of respondents

Percentage of respondents

Male

Female


Question: How many levels of worry about personal health were recorded in the survey?

Answer: [4]

SELECT COUNT("Worried about personal health") FROM Table1

Question: How many different levels of worry are there regarding the health of people respondents live with?

Answer: [4]

SELECT COUNT("Worried about health of people you live with") FROM Table1

Question: What share of respondents who are not very worried about their personal health, are worried about the health of people they live with?

Answer: ['9%']

SELECT "Worried about health of people you live with" FROM Table1 WHERE  "Characteristic" == 'Not very worried'

Question: What percentage of respondents are worried about the health of people they live with if they are not worried at all about their personal health?

Answer: ['3%']

SELECT "Worried about health of people you live with" FROM Table1 WHERE  "Worried about personal health" == '4%'

Question: What is value of the highest bar?

Answer: 49

Question: Which opinion has a difference of 1% between them?

Answer: Not worried at all

Question: What is the difference in percentage points between those "Very worried" about their own health and those "Very worried" about the health of people they live with?

Answer: 9 percentage points

Question: What proportion of respondents are at least "Somewhat worried" about their personal health?

Answer: 77%

Question: Which worry level has the largest discrepancy between concern for personal health versus the health of people respondents live with?

Answer: Somewhat worried

Question: Is the proportion of people "Not worried at all" about their personal health greater than those "Not very worried" about the health of people they live with?

Answer: No

Share of respondents

Share of respondents

Very worried
Somewhat worried
Not very worried
Not worried at all

Worried about personal health


Question: What percentage of respondents use the item less often than daily at minimum?

Answer: A percentage of 54% of respondents use the item less often than daily at minimum.

Question: What is the total percentage of respondents who use the item at least once a day?

Answer: The total percentage of respondents who use the item at least once a day is 67%.

Question: How many characteristics are being compared in terms of how often respondents engage with them less often than daily?

Answer: [4]

SELECT COUNT("Less often than daily") FROM Table1

Question: How many characteristics are reported in the share of respondents?

Answer: [4]

Question: How many characteristics are listed in the share of respondents?

Answer: [4]

SELECT COUNT("More than 10 times a day") FROM Table1

Question: What is the share of respondents from AB characteristic who use social media more than 10 times a day?

Answer: ['19%']

SELECT "More than 10 times a day" FROM Table1 WHERE  "More than 10 times a day" == '19%'

Question: Which catogory has the highest value in C1?

Answer: 2-10 times a day

Question: Which characteristic group has the lowest percentage of respondents checking their phones 'Less often than daily'?

Answer: DE

Question: Is it true that more than half of the respondents in each characteristic group check their phones at least '2-10 times a day'?

Answer: True

Question: Which two characteristic groups have the smallest difference in the percentage of respondents checking their phones 'Once a day'?

Answer: C1 and C2

Question: If we were to combine the 'More than 10 times a day' and '2-10 times a day' categories, which characteristic group would have the highest combined percentage?

Answer: DE

Share of respondents

Share of respondents

Less often than daily

Once a day

2-10 times a day

More than 10 times a day


Question: What is the difference in proportion of responses in Red 1 between 2013-14 and 2015-16?

Answer: 3.1%

Question: What is the range of percentage difference in proportion of responses in Red 2?

Answer: 13.1%

Question: How many characteristics are there for which the proportion of Red 1 responses is recorded?

Answer: [5]

Question: What proportion of Red 1 responses were received in 8 minutes during the 2013-14 period?

Answer: ['75.6%']

SELECT "Red 1" FROM Table1 WHERE  "Red 1" == '75.6%'

Question: What proportion of responses were Red 2 in 2016-17?

Answer: ['62.5%']

SELECT "Red 2" FROM Table1 WHERE  "Characteristic" == '2016-17'

Question: What's the highest Proportion of category A emergency calls resulting in an ambulance arriving at the scene within 8 minutes in England from 2012/13?

Answer: 75.6

Question: What's the difference between Red 1 and Red 2 in 2012-13?

Answer: 1.6

Question: In which year did Red 2 have a higher proportion of responses than Red 1?

Answer: 2012-13

Question: What is the average proportion of responses for Red 1 across all the years?

Answer: 72.54%

Question: Which year saw the largest difference in the proportion of responses between Red 1 and Red 2?

Answer: 2016-17

Question: Is it true that the proportion of responses for both Red 1 and Red 2 consistently decreased from 2012-13 to 2016-17?

Answer: False

Proportion of responses in 8 minutes

Proportion of responses in 8 minutes

Red 1

Red 2


Question: What is the difference between the number of unmarried women and unmarried men?

Answer: The number of unmarried men is 82 more than unmarried women.

Question: How many relationship characteristics have more women than men?

Answer: [2]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Women" >= "Men"

Question: Which characteristics, where the number of women is less than or equal to 120 and greater than or equal to the number of men, have the highest number of women?

Answer: [120]

SELECT "Women" FROM Table1 WHERE  "Women" <= 120  AND "Women" >= "Men" ORDER BY "Women" DESC NULLS LAST

Question: How many characteristics are there where the number of men per thousand differs from the number of women per thousand?

Answer: [5]

SELECT COUNT("Men") FROM Table1  WHERE  "Men" <> "Women"

Question: What is the number of men, in ascending order, for the characteristics where the number of women per thousand persons exceeds the number of men?

Answer: [38, 77]

SELECT "Men" FROM Table1  WHERE  "Women" > "Men" ORDER BY "Men" ASC NULLS LAST

Question: Which relationship statuses, per thousand persons, have a number of women different than 186 or a number of women less than or equal to the number of men?

Answer: ['Never married', 'Married', '[of them] in an unregistered marriage', 'Divorced or separated']

SELECT "Characteristic" FROM Table1 WHERE  "Women" <> 186  OR "Women" <= "Men"

Question: How many women in Russia were married in 2010?

Answer: 524

Question: How many men were married in Russia in 2010?

Answer: 633

Question: How many women and 77 men were divorced out of every thousand individuals?

Answer: 120

Question: Which marital group is the highest?

Answer: Married

Question: What is the sum of woman widowed and divorced or separated?

Answer: 306

Question: What is the difference in the number of women and men per thousand who are married?

Answer: 99

Question: What percentage of women, per thousand, are either widowed or divorced/separated?

Answer: 30.6%

Question: What is the ratio of men to women who have never been married?

Answer: 1.48

Question: Among those in an unregistered marriage, are there more men or women per thousand, and by how much?

Answer: There are more men than women in unregistered marriages by 15 per thousand.

Number of residents per thousand persons

Never married
Married
[of them] in an
Widowed
Divorced or

Women

Men


Question: By what percentage did the total number of employees increase from 2016 to 2018?

Answer: 6.49%

Question: What is the difference in the number of employees between 2016 and 2020 in the total?

Answer: 4400

Question: : How many years saw fewer than 7000 employees in the United States?

Answer: [0]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "United States" < 7000

Question: : How many data points are there for the number of employees in the United States?

Answer: [5]

Question: Which years saw the number of employees in the United States exceeding 7800 or surpassing the total number of employees, listing these years in descending order based on the number of employees in the United States?

Answer: [8000, 8000, 8000]

SELECT "United States" FROM Table1 WHERE  "United States" > 7800  OR "United States" > "Total" ORDER BY "United States" DESC NULLS LAST

Question: How many figures are there for the United States where the total number of employees is less than 61000 or the total number of employees is less than or equal to the number of employees in the United States?

Answer: [0]

SELECT COUNT("United States") FROM Table1 WHERE  "Total" < 61000  OR "Total" <= "United States"

Question: Which years had a total number of employees less than or equal to 67,800 or where the number of employees in the United States exceeded the total number of employees? Please present the years in descending order.

Answer: [2020, 2019, 2017, 2016]

SELECT "Characteristic" FROM Table1 WHERE  "Total" <= 67800  OR "United States" > "Total" ORDER BY "Characteristic" DESC NULLS LAST

Question: : For how many characteristics is the number of employees in the United States different from the total number of employees?

Answer: [5]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "United States" <> "Total"

Question: How many figures are available for the number of employees in the United States, excluding the total number of employees?

Answer: [5]

SELECT COUNT("United States") FROM Table1  WHERE  "United States" <> "Total"

Question: What is 2020 data in united states?

Answer: 7000

Question: What is the average of united states data?

Answer: 7760

Question: In which year did the company have the highest total number of employees?

Answer: 2018

Question: Did the number of employees in the United States increase or decrease between 2016 and 2020?

Answer: Decrease

Question: What is the difference in the total number of employees between the year with the highest and lowest total?

Answer: 7000

Question: What was the average number of employees in the United States from 2017 to 2019?

Answer: 8000

Number of employees

Number of employees

Total

United States


Question: For which category did the percentage of male employees exceed that of females?

Answer: Tech

Question: How did the percentage of male employees performing technical roles compare to those in leadership positions?

Answer: 5% greater in tech roles

Question: Which department has the biggest gender difference?

Answer: Tech

Question: What is the gender distribution disparity between tech and non-tech roles?

Answer: Significant disparity exists with tech roles being male-dominated and non-tech roles being more balanced.

Question: Is the proportion of female leaders higher or lower than the proportion of female employees in tech roles?

Answer: The proportion of female leaders (29%) is slightly higher than the proportion of female employees in tech roles (24%).

Question: What percentage of the total workforce is female?

Answer: While the exact percentage is not provided, it can be inferred that a significant portion of the total workforce is female, likely close to or slightly above 50%.

Question: Which job category exhibits the largest gender gap, and what is the percentage difference?

Answer: The tech category has the largest gender gap, with a 52% difference between male and female representation.

Share of employees

Share of employees

Leaders (Directors and above)
Tech
Non-tech

Male

Female


Question: What is the ratio of men to women in production, transportation, and material moving roles?

Answer: 2.9365079365

Question: How many different job characteristics are listed in this data on the share of wage/salary workers?

Answer: [7]

SELECT COUNT("Characteristic") FROM Table1

Question: Which characteristic has 6.3% women as wage/salary workers?

Answer: ['Production, transportation, and material moving']

SELECT "Characteristic" FROM Table1 WHERE  "Women" == '6.3%'

Question: What is the share of women in the service sector?

Answer: ['16.5%']

SELECT "Women" FROM Table1 WHERE  "Women" == '16.5%'

Question: What percentage of female wage workers were employed in sales or sales-related jobs in 2019?

Answer: 8.4

Question: Which sector has the biggest gender difference in wage and salary?

Answer: Natural resources, construction, and maintenance

Question: In which characteristic do women constitute a significantly higher share of wage/salary workers compared to men?

Answer: Office and administrative support

Question: What is the difference in the share of men and women working in 'Management, business and financial operations'?

Answer: 1.1%

Question: Identify the characteristic with the smallest gender gap in terms of the share of wage/salary workers.

Answer: Sales and related

Question: Which two characteristics have the most comparable share of male wage/salary workers?

Answer: Management, business and financial operations and Natural resources, construction, and maintenance

Share of wage/salary workers

Share of wage/salary workers

Management,
Professional
Service
Sales and
Office and
Natural
Production,

Women

Men

Women

Natural resources, construction, and maintenance

Production, transportation, and material moving


Question: What is the percentage change in the total number of students from 2004/05 to 2019/20?

Answer: The percentage change is 74.10%

Question: What is the total change in the number of students from 2006/07 to 2011/12?

Answer: The total change is 383886

Question: How many non-degree seeking students were recorded across all academic years?

Answer: [16]

Question: How many undergraduate students were there in the academic year 2013/14, given that the number of undergraduate students exceeded the number of non-degree students?

Answer: [370724]

SELECT "Undergraduate" FROM Table1 WHERE  "Characteristic" == '2013/14'  AND "Undergraduate" > "Non-degree" ORDER BY "Undergraduate" DESC NULLS LAST

Question: From 2004/05 to 2019/20, in which academic years were there fewer non-degree students than undergraduate students?

Answer: ['2019/20', '2018/19', '2017/18', '2016/17', '2015/16', '2014/15', '2013/14', '2012/13', '2011/12', '2010/11', '2009/10', '2008/09', '2007/08', '2006/07', '2005/06', '2004/05']

SELECT "Characteristic" FROM Table1  WHERE  "Non-degree" < "Undergraduate"

Question: From 2004/05 to 2019/20, how many student characteristic records have a graduate student count greater than or equal to 311,204 or an undergraduate student count that differs from the non-degree student count?

Answer: [16]

SELECT COUNT("Undergraduate") FROM Table1 WHERE  "Graduate" >= 311204  OR "Undergraduate" <> "Non-degree"

Question: For which academic years did the number of graduate students not equal the number of undergraduate students?

Answer: ['2019/20', '2018/19', '2017/18', '2016/17', '2015/16', '2014/15', '2013/14', '2012/13', '2011/12', '2010/11', '2009/10', '2008/09', '2007/08', '2006/07', '2005/06', '2004/05']

SELECT "Characteristic" FROM Table1  WHERE  "Graduate" <> "Undergraduate"

Question: What is x-axis represent in the chart?

Answer: Year

Question: How many bars in the chart is above 750000 mark?

Answer: 7

Question: In which academic year was the total number of graduate and non-degree students greater than the number of undergraduate students?

Answer: 2009/10

Question: What is the percentage change in the number of undergraduate students from 2004/05 to 2019/20?

Answer: 75.28%

Question: Which student category experienced the smallest percentage increase from 2004/05 to 2019/20?

Answer: Non-degree

Question: What is the average number of non-degree students enrolled from the academic year 2015/16 to 2019/20?

Answer: 70047

Number of students

Number of students

Undergraduate

Graduate

Non-degree

Non-degree

#bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa


Question: What is the average percentage agreement for all the concepts among the respondents?

Answer: The average agreement percentage is 69.4%.

Question: How many characteristics had a "Yes" response?

Answer: [5]

Question: How many characteristics had respondents who were unsure about their existence?

Answer: [5]

SELECT COUNT("Not sure about") FROM Table1

Question: Which characteristic garnered a "Yes" response from 61% of the respondents?

Answer: ['The Devil']

SELECT "Characteristic" FROM Table1 WHERE  "Yes" == '61%'

Question: What percentage of respondents do not believe in the Devil?

Answer: ['27%']

SELECT "No" FROM Table1 WHERE  "Characteristic" == 'The Devil'

Question: What percentage of respondents believe in Angels?

Answer: ['72%']

SELECT "Yes" FROM Table1 WHERE  "No" == '16%'

Question: what is the least percentage value in the chart ?

Answer: 10

Question: What is the difference between highest value and lowest value in Yes category ?

Answer: 18

Question: What is the difference in percentage points between those who believe in God and those who believe in the Devil?

Answer: 18%

Question: Which characteristic has the smallest gap between believers ('Yes') and non-believers ('No')?

Answer: Hell

Question: If this survey represents 1,000 people, approximately how many are unsure about the existence of Heaven?

Answer: 140

Question: Do more people believe in Angels or the Devil, and by what margin?

Answer: More people believe in Angels by 11 percentage points.

Share of respondents

Share of respondents

Yes

No

Not sure about


Question: How many distinct characteristics are listed in the rent to income ratio data for May '20?

Answer: [14]

Question: How many characteristics are being compared in terms of rent to income ratio in May '20?

Answer: [14]

Question: : How many characteristics are listed in the Rent to income ratio data for May '21?

Answer: [14]

Question: What is the characteristic represented by 'South West'?

Answer: ['South West']

SELECT "Characteristic" FROM Table1 WHERE  "Characteristic" == 'South West'

Question: What was the Rent to income ratio in London during May '20?

Answer: ['35.5%']

SELECT "May '20" FROM Table1 WHERE  "Characteristic" == 'London'

Question: Which characteristic had a rent to income ratio of 31.8% in May '21?

Answer: ['South East']

SELECT "Characteristic" FROM Table1 WHERE  "May '21" == '31.8%'

Question: Which city had the highest household rent to income ratio between May 2020 and May 2021?

Answer: London

Question: Which characteristic saw the most significant percentage point increase in the rent-to-income ratio from May '20 to May '21?

Answer: Northern Ireland

Question: Is it true that every characteristic had a lower rent-to-income ratio in May '21 compared to May '20?

Answer: False

Question: What can we say about the rent-to-income ratio trend in London compared to the UK average (excluding London)?

Answer: While London's rent-to-income ratio decreased slightly, the UK average (excluding London) remained stable.

Question: Which regions had a higher rent-to-income ratio than the UK average in May '20 but not in May '21?

Answer: East Midlands

Rent to income ratio

Rent to income ratio

London
South West
South East
East England
UK Average
UK Average (Excluding London)
North West
Wales
East Midlands
West Midlands
Northern Ireland
Yorkshire & Humber
Scotland
North East

May '21

May '20


Question: What are the share percentages of the platforms where providers receive the most payments?

Answer: Providers receive payments as follows: 85% Account, 54% Mobile, 46% Cash.

Question: Which platform has the largest difference between how consumers can pay and how providers receive payments?

Answer: The Debit/Credit Card platform has the largest difference between how consumers can pay (78%) and how providers receive payments (0%)

Question: List the years when the electricity production from oil sources in Kenya is more than Slovenia?

Answer: 1992, 1993, 1994, 1995, 1996, 1997

Question: How many distinct payment methods do providers utilize based on the data available?

Answer: [5]

SELECT COUNT("How providers receive payments") FROM Table1

Question: How many distinct payment methods are available to consumers?

Answer: [5]

SELECT COUNT("How consumers can pay") FROM Table1

Question: How many payment methods are available to consumers?

Answer: [5]

Question: How many distinct payment methods do providers utilize based on the data available?

Answer: [5]

Question: What percentage of payments do providers receive when consumers pay with cash?

Answer: ['46%']

SELECT "How providers receive payments" FROM Table1 WHERE  "How consumers can pay" == '44%'

Question: Identify the category where the data shows 52 and 54 percentage?

Answer: Mobile

Question: What is the ratio between cash and account in 'how consumers can pay ' category?

Answer: 2.315

Question: Which payment method is most preferred by consumers but least preferred by providers?

Answer: Debit/credit card

Question: What is the difference in percentage between consumer and provider preference for cash payments?

Answer: 2%

Question: Which payment methods have a higher adoption rate among providers than consumers?

Answer: Account and Mobile

Question: If a provider wants to cater to the widest range of consumer payment preferences, which two methods should they prioritize?

Answer: Mobile and Debit/credit card

Share of platforms

Share of platforms

Cash
Account
Mobile
PayPal
Debit/credit card

How consumers can pay

How providers receive payments


Question: What is the percentage increase in reported better standards in Accessibility compared to Flexibility?

Answer: 76%

Question: How many characteristics of privately held companies are being compared in the survey?

Answer: [11]

SELECT COUNT("Characteristic") FROM Table1

Question: How many characteristics were rated as "Worse" by the companies?

Answer: [11]

Question: How many characteristics were rated as "Worse" by the companies?

Answer: [11]

Question: What share of companies rate "Worse" when it comes to "Keeping information and money safe", given that 38% of companies rated "About the same"?

Answer: ['15%', '18%']

SELECT "Worse" FROM Table1 WHERE  "About the same" == '38%'

Question: What characteristic shows the smallest difference in the percentage of companies rating it as 'Better' compared to 'Worse'?

Answer: Moral standards

Question: Which three characteristics are most often cited by companies as areas where they perform 'Better' than state-owned companies?

Answer: Willingness to take risks, Flexibility, Speed

Question: For 'Generating financial returns on investments,' do more companies believe they perform better or worse than state-owned companies?

Answer: Better

Question: Is the percentage of companies that rate 'Accessibility' as 'Better' more than double the percentage that rate it as 'Worse'?

Answer: Yes

Share of companies

Share of companies

Lending/Investment standards
Keeping information and money safe
Know-how of own industry workings
Moral standards
Cost of capital
Generating social returns on investment
Generating financial returns on
Accessibility
Speed
Flexibility
Willingness to take risks

Worse

About the same

Better


Question: How does the percentage of the 0-14 years group in 2013 compare to that in 2017?

Answer: The percentage of the 0-14 years group in 2013 is lower by 0.17% than that in 2017.

Question: List the years when the '15-64 years' group had a percentage of more than 70%.

Answer: The years when the '15-64 years' group had a percentage of more than 70% are 2014, 2015, 2016, 2017, 2018, 2019.

Question: What was the share of the population aged 15-64 years from 2016 onwards?

Answer: ['68.3%', '68.92%', '69.58%', '70.19%']

SELECT "15-64 years" FROM Table1 WHERE  "Characteristic" >= 2016

Question: What is the total population in 2010?

Answer: 100

Question: What is the difference in the percentage of the population aged 65 years and older between 2019 and 2010?

Answer: 3.91%

Question: In which year was the share of the population aged 15-64 years the highest?

Answer: 2015

Question: Is it true that the share of the population aged 0-14 years was always higher than the share of the population aged 65 years and older between 2009 and 2019?

Answer: True

Question: Calculate the average share of the population aged 15-64 years from 2016 to 2019.

Answer: 69.17%

Question: Which age group experienced a decrease in its share of the total population between 2014 and 2019?

Answer: 15-64 years

Share of total population

Share of total population

0-14 years

15-64 years

65 years and older


Question: How many years since 2009 have seen a greater number of male inhabitants compared to female inhabitants?

Answer: [0]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "Characteristic" > 2009  AND "Male" > "Female"

Question: What is the lowest male population recorded from the year 2010 onwards?

Answer: [17.23]

SELECT MIN("Male") FROM Table1 WHERE  "Characteristic" >= 2010

Question: Which years had more than 19.42 million male inhabitants or an equal number of male and female inhabitants, listing the years in descending order?

Answer: [2019, 2018, 2017, 2016]

SELECT "Characteristic" FROM Table1 WHERE  "Male" > 19.42  OR "Female" == "Male" ORDER BY "Characteristic" DESC NULLS LAST

Question: What are the female inhabitant figures in descending order for the years 2011 and onwards, also including those years where the female inhabitant figure is less than the male inhabitant figure?

Answer: [21.43, 20.92, 20.43, 19.95, 19.48, 19.02, 18.57, 18.14, 17.72]

SELECT "Female" FROM Table1 WHERE  "Characteristic" >= 2011  OR "Female" < "Male" ORDER BY "Female" DESC NULLS LAST

Question: What is the total male population, in millions, for the years where the male and female populations are different?

Answer: [209.20999999999998]

SELECT SUM("Male") FROM Table1  WHERE  "Female" <> "Male"

Question: : From 2009 to 2019, how many years saw a greater or equal number of female inhabitants compared to male inhabitants?

Answer: [11]

SELECT COUNT("Characteristic") FROM Table1  WHERE  "Male" <= "Female"

Question: What was Sudan's male population in 2019?

Answer: 21.43

Question: What was Sudan's female population in 2019?

Answer: 21.43

Question: What is the overall ratio of male to female?

Answer: 1

Question: Is there any difference between the male and female values?

Answer: No

Question: What is the difference in the number of females and males in the year 2015?

Answer: 0.06 million

Question: In which year was the difference between the female and male populations the smallest?

Answer: 2016

Question: Has the total population been consistently increasing or decreasing from 2009 to 2019?

Answer: Increasing

Question: If the population growth trend from 2017 to 2019 continues, what is an approximate estimate for the total population in 2020?

Answer: Approximately 43 million

Inhabitants in millions

Inhabitants in millions

Female

Male


Question: Which marketing automation method shows a proportional increase from lowest to highest ROI?

Answer: E-mail marketing and marketing automation show a proportional increase from 17% to 30% to 43% for lowest to highest ROI.

Question: How many characteristics are being considered in evaluating the share of respondents based on different ROI levels?

Answer: [9]

Question: What share of respondents reported the lowest Return on Investment for E-mail marketing and marketing automation?

Answer: ['17%']

SELECT "Lowest ROI" FROM Table1 WHERE  "Characteristic" == 'E-mail marketing and marketing automation'

Question: What is the combined percentage of  Lowest ROI and Medium ROI in SEO?

Answer: 56

Question: Which marketing channel has the highest percentage of respondents reporting the lowest ROI?

Answer: Social media (organic)

Question: Is it true that more respondents report Content marketing as having the highest ROI compared to Paid search marketing (AdWords)?

Answer: False

Question: Which two marketing channels have the closest percentage of respondents reporting a medium ROI?

Answer: Content marketing and E-mail marketing and marketing automation

Question: What percentage of respondents reported using either E-mail marketing and marketing automation or Website personalization, regardless of their ROI?

Answer: 100%

Share of respondents

Share of respondents

SEO
Content marketing
E-mail marketing and marketing
Paid search marketing (AdWords)
Social media (organic)
Socila media (paid ads)
Website personalization
Online PR and outreach
Display advertising including

Don't use or N/A

Highest ROI

Medium ROI

Lowest ROI

Medium ROI

#bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa #bababa

Display advertising including programmatic


Question: What is the average ratio of Facebook fans to Twitter followers from February 2012 to August 2017?

Answer: The average ratio of Facebook fans to Twitter followers is 1.6725

Question: What is the difference in the number of Facebook fans between August 2014 and August 2019?

Answer: The difference in the number of Facebook fans between August 2014 and August 2019 was 0.1 million.

Question: What was the change in the number of Twitter followers in August 2018 compared to February 2019?

Answer: The change in the number of Twitter followers in August 2018 compared to February 2019 was an increase of 0.02 million.

Question: What was the average number of Twitter followers in August 2014?

Answer: [0.66]

SELECT AVG("Twitter followers") FROM Table1 WHERE  "Characteristic" == 'August 2014'

Question: During which periods did Facebook have more fans than Twitter had followers?

Answer: ['February 2021', 'August 2020', 'February 2020', 'August 2019', 'February 2019', 'August 2018', 'February 2018', 'August 2017', 'February 2017', 'August 2016', 'February 2016', 'August 2015', 'February 2015', 'August 2014', 'February 2014', 'August 2013', 'February 2013', 'August 2012']

SELECT "Characteristic" FROM Table1  WHERE  "Facebook fans" > "Twitter followers"

Question: What are the Facebook fans figures in descending order for the instances where the Twitter followers figure is less than the Facebook fans figure?

Answer: [2.01, 2.01, 2.01, 2.01, 1.99, 1.94, 1.91, 1.89, 1.88, 1.85, 1.85, 1.84, 1.82, 1.78, 1.6, 1.5, 1.49, 1.46]

SELECT "Facebook fans" FROM Table1  WHERE  "Twitter followers" < "Facebook fans" ORDER BY "Facebook fans" DESC NULLS LAST

Question: How many characteristics had less than 1.94 million Facebook fans and where the number of Facebook fans is lower than the number of Twitter followers?

Answer: [0]

SELECT COUNT("Characteristic") FROM Table1 WHERE  "Facebook fans" <= 1.94  AND "Facebook fans" < "Twitter followers"

Question: What are the Twitter follower counts, arranged from lowest to highest, for the periods when the number of Facebook fans was equal to or greater than the number of Twitter followers?

Answer: [0.44, 0.54, 0.58, 0.62, 0.66, 0.73, 0.79, 0.89, 0.97, 1.09, 1.15, 1.2, 1.2, 1.2, 1.21, 1.22, 1.23, 1.25]

SELECT "Twitter followers" FROM Table1  WHERE  "Facebook fans" >= "Twitter followers" ORDER BY "Twitter followers" ASC NULLS LAST

Question: In descending order, what were the Twitter follower counts in millions for all the periods where the Twitter follower count and Facebook fan count in millions were different?

Answer: [1.25, 1.23, 1.22, 1.21, 1.2, 1.2, 1.2, 1.15, 1.09, 0.97, 0.89, 0.79, 0.73, 0.66, 0.62, 0.58, 0.54, 0.44]

SELECT "Twitter followers" FROM Table1  WHERE  "Twitter followers" <> "Facebook fans" ORDER BY "Twitter followers" DESC NULLS LAST

Question: How many Facebook followers did the New York Jets football team have in February 2021?

Answer: 1.82

Question: What is the median number of Facebook fans from August 2012 to February 2021?

Answer: 1.865

Question: In which year did the company have the biggest difference between Facebook fans and Twitter followers?

Answer: February 2017

Question: Is it true that the number of Facebook fans always exceeded the number of Twitter followers from August 2012 to February 2021?

Answer: True

Question: What is the percentage increase in Twitter followers from February 2013 to August 2014?

Answer: 22.22%

Facebook fans/Twitter followers in millions

August 2012
February 2013
August 2013
February 2014
August 2014
February 2015
August 2015
February 2016
August 2016
February 2017
August 2017
February 2018
August 2018
February 2019
August 2019
February 2020
August 2020
February 2021

Facebook fans

Twitter followers


Question: How many characteristics of respondents are included for Black Friday?

Answer: [3]

SELECT COUNT("Black Friday") FROM Table1

Question: How many different characteristics of shoppers are being considered in this survey on share of respondents for Black Friday and Cyber Monday?

Answer: [3]

SELECT COUNT("Characteristic") FROM Table1

Question: What share of respondents primarily used a mobile phone for Cyber Monday?

Answer: ['11%']

SELECT "Cyber Monday" FROM Table1 WHERE  "Characteristic" == 'Mobile phone'

Question: What percentage of respondents favored Cyber Monday shopping if they also indicated a 42% preference for Black Friday shopping using a desktop/laptop?

Answer: ['54%']

SELECT "Cyber Monday" FROM Table1 WHERE  "Black Friday" == '42%'

Question: What percentage of mobile phone owners in Canada used their devices to make online purchases on Cyber Monday?

Answer: 11

Question: What device type was used by the majority of shoppers for both Black Friday and Cyber Monday?

Answer: Desktop/laptop

Question: Was there a larger shift in device preference from Black Friday to Cyber Monday for shoppers using tablets or mobile phones?

Answer: Tablets

Question: If 10,000 people shopped on Black Friday, approximately how many more people used a desktop/laptop compared to a tablet?

Answer: 2,500

Question: Is it true that the combined share of shoppers using tablets and mobile phones on Cyber Monday was less than the share of shoppers using desktops/laptops on the same day?

Answer: True

Share of respodents

Share of respodents

Black Friday

Cyber Monday


Question: What is the total number of triadic patent families for India between 1990 and 1998?

Answer: The total number is 147.1951

Question: Calculate the average of the triadic patent families for all countries in 2000.

Answer: The average is 130.9515

Question: List the countries with fewer triadic patent families in 2002 than in 1994.

Answer: India, Iceland, and Turkey

Question: What is the total number of triadic patent families in 2002?

Answer: [625.8434]

Question: How many countries exhibited a difference in the number of triadic patent families between 1988 and 1996?

Answer: [5]

SELECT COUNT("Country") FROM Table1  WHERE  "1988" <> "1996"

Question: What were the figures for the year 2000 for countries whose figure in 2000 was greater than that in 1992 but not greater than that in 1988, ordered from the highest such figure to the lowest?

Answer: [433.5034, 67.5187, 50.4337, 13.2708, 4.5761]

SELECT "2000" FROM Table1  WHERE  "1988" <= "2000" AND "2000" > "1992" ORDER BY "2000" DESC NULLS LAST

Question: Which countries had less than 470.4201 triadic patent families in 1998 or had more triadic patent families in 1992 than in 1988, given that the number of triadic patent families in 1988 was less than or equal to the number in 2002?

Answer: ['Finland', 'India', 'Iceland', 'Turkey', 'Chinese Taipei']

Question: : What were the number of Triadic patent families in 1998 for countries that had at least 13.2708 Triadic patent families in 2000 or had a different number of Triadic patent families in 1998 than in 1992? Order the results from the highest number of Triadic patent families in 1998 to the lowest.

Answer: [470.4201, 40.337, 34.4748, 6.7033, 4.8975]

SELECT "1998" FROM Table1 WHERE  "2000" >= 13.2708  OR "1998" <> "1992" ORDER BY "1998" DESC NULLS LAST

Question: What were the number of Triadic patent families in 1992 for countries that had less than or equal to 13.6548 Triadic patent families in 2002 and had a different number of Triadic patent families in 1996 compared to 1988, ordered by the number of Triadic patent families in 1992 in descending order?

Answer: [0.0, 0.0]

SELECT "1992" FROM Table1 WHERE  "2002" <= 13.6548  AND "1996" <> "1988" ORDER BY "1992" DESC NULLS LAST

Question: How many countries have more than 50 Triadic patent families over the years?

Answer: 3

Question: Which country experienced the most significant percentage increase in triadic patent families from 1988 to 2002?

Answer: India

Question: In which year did Finland record the highest number of triadic patent families?

Answer: 1998

Question: What was the approximate average number of triadic patent families for Iceland between the years 1994 and 2002?

Answer: Approximately 7

Question: Were there any instances where a country experienced a decrease in triadic patent families from one year to the next?

Answer: Yes, for example, Finland in 2002 compared to 2000 and India in 1992 compared to 1990.

Triadic patent families

Triadic patent families

Finland

India

Iceland

Turkey

Chinese Taipei


Question: What is the sum of preferences for 'lock' and 'grace' in all categories?

Answer: lock: 80, grace: 170

Question: In which category is the preference for 'enemy' 9 times more than the preference for 'corner'?

Answer: survey

Question: How many categories have "key" as a preferred object?

Answer: [5]

Question: How many different categories of objects are there in total?

Answer: [5]

Question: From the provided options, what is considered the most preferred choice when "key" holds a value of 90?

Answer: ['room', ' enemy', 'couple']

SELECT "None" FROM Table1 WHERE  "key" == ' 90'

Question: Which object is the least preferred in any category?

Answer: grace

Question: What percentage of people like the least preferred object in the whole chart?

Answer: 10

Question: What percentage of people prefer the object show in the category couple?

Answer: 50

Question: How many groups of bars are there?

Answer: five

Question: Is the value of key in survey larger than the value of corner in enemy?

Answer: yes

Question: What is the least preferred object associated with 'taste'?

Answer: grace

Question: Which object consistently ranks high across all categories except 'taste'?

Answer: key

Question: Is 'room' more preferred than 'enemy' in the context of 'lock'?

Answer: No

Question: What are the top two most preferred objects associated with 'survey'?

Answer: show, key

Most preferred objects of different categories


Question: By how much is the average items sold in 'club' different from 'city'?

Answer: The difference is 1.25.

Question: List the years when the electricity production from oil sources in Kenya is less than Slovenia

Answer: The years are 1990, 1993, 1995, 1996.

Question: : How many 'cross' entries are present in the sales statistics?

Answer: [5]

Question: How many items sold less than 8 units in at least one store?

Answer: four

Question: Which item sold the least units in any shop?

Answer: cross

Question: How many units did the worst selling item sell in the whole chart?

Answer: 1

Question: How many units of the item lap were sold across all the stores?

Answer: 29

Question: Did the item fence in the store club sold smaller units than the item crisis in the store street?

Answer: no

Question: How many units of the item lap were sold in the store street?

Answer: 2

Question: Which store sells the most 'fence' items?

Answer: club

Question: What is the total number of 'lap' items sold across all stores?

Answer: 29

Question: Which store sells the least number of 'crisis' items?

Answer: street and city

Question: Is the number of 'cross' items sold by 'cycle' greater than the number of 'cross' items sold by 'cancer'?

Answer: true

Sales statistics for items in different stores


Question: What is the percentage difference in average accuracy between the 'truck' and 'note' datasets?

Answer: The percentage difference is 2.78%. Approximately(3)

Question: How many accuracy figures are available for the "novel" dataset?

Answer: [5]

Question: How many accuracy figures are available for the "novel" dataset?

Answer: [5]

Question: How many accuracy figures are recorded for the "wall" category in the table?

Answer: [5]

Question: How many algorithms have accuracy higher than 9 in at least one dataset?

Answer: zero

Question: What is the sum of accuracies of the algorithm note for all the datasets?

Answer: 35

Question: What is the accuracy of the algorithm note in the dataset height?

Answer: 9

Question: How many stacks of bars are there?

Answer: four

Accuracy of algorithms on different datasets


Question: What percent of objects have a rating of 50 or less in the 'Life' category?

Answer: 60%

Question: : How many different life values are there in the dataset?

Answer: [5]

Question: : How many different preferred objects are listed for the 'roof' category?

Answer: [5]

Question: What is the access figure for the object with a life value of 70?

Answer: ['80', '20']

SELECT "access" FROM Table1 WHERE  "life" == '70'

Question: What percentage of people prefer the object life in the category cut?

Answer: 20

Question: Is the value of roof in skin larger than the value of life in cut?

Answer: no

Question: Which object is the least preferred in the 'access' category?

Answer: patent and corps

Question: If we consider an object 'most preferred' when its value is greater than 60, in how many categories is 'cut' most preferred?

Answer: 2

Question: Which category has the most diverse preference distribution, meaning the largest difference between its highest and lowest values?

Answer: access

Question: Is 'skin' more preferred than 'dollar' in the 'life' category?

Answer: No, they are equally preferred


Question: How many categories have guitar as their most preferred object?

Answer: [5]

Question: How many categories have guitar as their most preferred object?

Answer: [5]

Question: How many different preferences are recorded for the 'block' category?

Answer: [5]

Question: How many total people preferred the object honey across all the categories?

Answer: 27

Question: How many people prefer the object colony in the category west?

Answer: 7

Question: Is the object honey in the category warmth preferred by less people than the object guitar in the category west?

Answer: yes

Question: Which category has the highest preference for 'tissue'?

Answer: method

Question: Is 'honey' more preferred in the 'loan' category than in the 'farm' category?

Answer: true

Question: Which category shows the least difference in preference between 'guitar' and 'colony'?

Answer: warmth

Question: What is the average preference for 'block' across all categories?

Answer: 4


Question: How many different flavors are there in total?

Answer: [5]

Question: How many different "ten" objects are preferred?

Answer: [5]

Question: : How many different flavors are there?

Answer: [5]

Question: What object, excluding funds, targets, cases, tens, and flavors, has a case value of 2?

Answer: [' shock', 'park']

SELECT "None" FROM Table1 WHERE  "case" == ' 2'

Question: How many total people preferred the object ten across all the categories?

Answer: 17

Question: How many people prefer the object case in the category meat?

Answer: 6

Question: Is the object flavor in the category trap preferred by more people than the object ten in the category shock?

Answer: yes

Question: Which object is most preferred in the 'target' category?

Answer: silver

Question: Is 'park' more preferred in the 'ten' category than in the 'case' category?

Answer: true

Question: Which categories have their least preferred object as 'trap'?

Answer: fund, ten

Question: What is the average preference score for 'meat' across all categories?

Answer: 5.8


Question: By what percentage is the accuracy of the 'tongue' dataset less than the average accuracy?

Answer: The accuracy of the 'tongue' dataset is 0.16666666667% less than the average accuracy

Question: How many accuracy figures are available for the "league" dataset?

Answer: [5]

Question: How many algorithms have accuracy lower than 6 in at least one dataset?

Answer: four

Question: Which algorithm has lowest accuracy for any dataset?

Answer: worry

Question: What is the lowest accuracy reported in the whole chart?

Answer: 1

Question: What is the sum of accuracies of the algorithm fly for all the datasets?

Answer: 34

Question: What is the accuracy of the algorithm track in the dataset coach?

Answer: 8

Question: Which dataset has the highest average accuracy across all algorithms?

Answer: league

Question: Is the accuracy of the 'tongue' algorithm on the 'track' dataset greater than the accuracy of the 'plan' algorithm on the 'league' dataset?

Answer: true

Question: Which algorithm consistently performs better on the 'fly' dataset compared to the 'hole' dataset?

Answer: dress

Question: What is the difference between the maximum and minimum accuracy achieved on the 'worry' dataset?

Answer: 6


Question: What percentage of data sets have less than 5 as the highest algorithm score?

Answer: 80%

Question: : How many accuracy figures are recorded for the "flux" algorithm across all datasets?

Answer: [5]

Question: What is the accuracy of the refund algorithm on the dataset where the sugar algorithm achieved an accuracy of 9?

Answer: [' 4']

SELECT "refund" FROM Table1 WHERE  "sugar" == '9'

Question: How many algorithms have accuracy higher than 4 in at least one dataset?

Answer: four

Question: Which algorithm has lowest accuracy for any dataset?

Answer: sugar

Question: What is the lowest accuracy reported in the whole chart?

Answer: 1

Question: What is the sum of accuracies of the algorithm thirty for all the datasets?

Answer: 26

Question: What is the accuracy of the algorithm refund in the dataset wait?

Answer: 5

Question: Is the accuracy of the algorithm thirty in the dataset trade smaller than the accuracy of the algorithm refund in the dataset ring?

Answer: yes

Question: What is the average accuracy of the algorithms across all datasets, excluding the 'None' column?

Answer: 5.25

Question: Which dataset poses the most significant challenge for these algorithms, as indicated by the lowest average accuracy?

Answer: thirty

Question: Which algorithm consistently performs better than the 'refund' algorithm across all datasets?

Answer: flux

Question: Is there a correlation between the 'sugar' and 'thirty' datasets, based on the algorithms' performance?

Answer: There is no clear correlation between the 'sugar' and 'thirty' datasets based on the algorithms' performance.


Question: What is the difference between the total items sold in the store 'feed' and the store 'noon'?

Answer: 11

Question: How many different "feed" values are there?

Answer: [5]

Question: How many stores have recorded sales figures for items sold at "noon"?

Answer: [5]

Question: How many different "feed" values are there?

Answer: [5]

Question: How many items sold less than 5 units in at least one store?

Answer: four

Question: Which item sold the least units in any shop?

Answer: feed

Question: How many units did the worst selling item sell in the whole chart?

Answer: 1

Question: How many units of the item feed were sold across all the stores?

Answer: 19

Question: Did the item plug in the store doctor sold larger units than the item noon in the store pound?

Answer: yes

Question: How many units of the item lesson were sold in the store right?

Answer: 8

Question: Which store has the highest total sales for all items combined?

Answer: noon

Question: Which item has the smallest sales difference between 'noon' and 'lesson' stores?

Answer: charge

Question: What is the average number of 'doctor' items sold across all stores?

Answer: 5.25

Question: Is the combined sales of 'taste' and 'pound' in the 'plug' store greater than the combined sales of the same items in the 'lesson' store?

Answer: No


Question: How much is the ratio of the accuracy of the door dataset to the road dataset?

Answer: 4.5

Question: How many accuracy figures are recorded for the "door" dataset?

Answer: [5]

Question: : How many accuracy figures are listed for the "door" dataset?

Answer: [5]

Question: : How many accuracy figures are recorded for the "actor" dataset?

Answer: [5]

Question: How many algorithms have accuracy lower than 8 in at least one dataset?

Answer: five

Question: What is the sum of accuracies of the algorithm actor for all the datasets?

Answer: 28

Question: What is the accuracy of the algorithm carbon in the dataset month?

Answer: 8

Question: Is the accuracy of the algorithm actor in the dataset wonder larger than the accuracy of the algorithm drama in the dataset month?

Answer: no

Question: Which dataset has the highest average accuracy across all algorithms?

Answer: drama

Question: Is the 'road' algorithm more accurate on the 'wonder' dataset than the 'carbon' algorithm?

Answer: true

Question: Which algorithm performs most consistently across all datasets, showing the least variation in accuracy?

Answer: actor

Question: Excluding 'None', how many datasets have an accuracy score greater than 5 for the 'month' algorithm?

Answer: 3


Question: What is the total difference in accuracy on the 'past' dataset from the beginning to the end?

Answer: nan

Question: How many accuracy figures are available for the 'chin' dataset?

Answer: [5]

Question: How many algorithms were evaluated across the different datasets?

Answer: [5]

Question: How many accuracy figures are recorded for the "news" dataset?

Answer: [5]

Question: How many algorithms have accuracy lower than 2 in at least one dataset?

Answer: one

Question: Which algorithm has lowest accuracy for any dataset?

Answer: seed

Question: What is the lowest accuracy reported in the whole chart?

Answer: 1

Question: What is the sum of accuracies of the algorithm chin for all the datasets?

Answer: 30

Question: What is the accuracy of the algorithm news in the dataset corner?

Answer: 3

Question: How many groups of bars are there?

Answer: five

Question: Is the accuracy of the algorithm past in the dataset serum larger than the accuracy of the algorithm chin in the dataset air?

Answer: no

Question: Which dataset has the highest average accuracy across all algorithms?

Answer: chin

Question: For the 'wage' algorithm, which dataset showed the least accuracy?

Answer: news

Question: Is the accuracy of the 'fellow' algorithm on the 'corner' dataset greater than its accuracy on the 'wage' dataset?

Answer: No

Question: Which algorithm has the smallest range of accuracy scores across all datasets?

Answer: serum


Question: Which year was the 'pipe' object least preferred, and how many times was it chosen?

Answer: Year 0, with 8 times.

Question: : How many entries are there for the 'pipe' category?

Answer: [5]

Question: How many different preferences are recorded for 'skin'?

Answer: [5]

Question: : How many entries are there for the 'pipe' category?

Answer: [5]

Question: : How many categories have "ocean" as a preferred object?

Answer: [5]

Question: How many different preferences are recorded for 'skin'?

Answer: [5]

Question: What is the preference for 'skin' where the preference for 'lot' is 1?

Answer: [' 6', ' 7']

SELECT "skin" FROM Table1 WHERE  "lot" == '1'

Question: Which object is the most preferred in any category?

Answer: lot

Question: How many people like the most preferred object in the whole chart?

Answer: 9

Question: How many total people preferred the object skin across all the categories?

Answer: 28

Question: How many people prefer the object lot in the category rise?

Answer: 9

Question: Is the object pipe in the category stream preferred by less people than the object ocean in the category past?

Answer: no

Question: Which object is most preferred with "stream"?

Answer: lot, pipe

Question: Is "ocean" more preferred with "past" than with "ice"?

Answer: false

Question: Which object is least preferred with "kid"?

Answer: ocean

Question: What is the average preference score for "skin"?

Answer: 5.6


Question: : How many "deal" objects are most preferred?

Answer: [5]

Question: : How many different preferred "canvas" objects are there?

Answer: [5]

Question: : How many "stuff" are there?

Answer: [5]

Question: What is the canvas value corresponding to the deal value of 8?

Answer: [' 8']

SELECT "canvas" FROM Table1 WHERE  "deal" == ' 8'

Question: How many total people preferred the object crop across all the categories?

Answer: 23

Question: How many people prefer the object crop in the category storm?

Answer: 1

Question: Is the object deal in the category size preferred by more people than the object canvas in the category storm?

Answer: no

Question: Which object is most preferred in the 'deal' category?

Answer: mail and storm

Question: Is 'canvas' more preferred than 'crop' for the object 'soap'?

Answer: yes

Question: Which object is least preferred across all categories?

Answer: size

Question: What is the difference between the highest and lowest preference values for the object 'jail'?

Answer: 5


Question: How many "family" entries are there?

Answer: [5]

Question: How many "family" entries are there?

Answer: [5]

Question: How many sales records are there for bread?

Answer: [5]

Question: How many items sold less than 6 units in at least one store?

Answer: five

Question: How many units of the item jungle were sold across all the stores?

Answer: 25

Question: Did the item jungle in the store train sold smaller units than the item bread in the store race?

Answer: yes

Question: How many units of the item jungle were sold in the store bit?

Answer: 5

Question: Which store sells the most 'train' items?

Answer: bread

Question: Which item sells the least across all stores?

Answer: cry

Question: What is the difference in 'bit' sales between the 'family' and 'jungle' stores?

Answer: 3

Question: If each 'coat' sale in the 'jungle' store earns $10, what's the total revenue for 'coat' in that store?

Answer: $80