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{
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"data": "Identify the main components of this chart.",
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{
"data": "National Football League average ticket price from 2006 to 2019 (in U.S. dollars) is a line chart. There is a linear scale from 2006 to 2018 along the x-axis, marked Year. Along the y-axis, Ticket price in U.S. dollars is measured along a linear scale from 0 to 100. The ticket price shown for 2006 is just over 60 dollars, and it rises from that point to just over 100 dollars in 2018. The line upward is quite steep, almost always rising sharply each year.",
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[] | [] | [
{
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{
"data": "Highlight the significant data points in this chart.",
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{
"data": "This is a area plot titled Average viewers of Minecraft on Twitch worldwide from January 2018 to November 2020 (in 1,000s). Month is measured using a linear scale from 2018 to 2020 along the x-axis. There is a linear scale from 0 to 100 on the y-axis, marked Number of viewers in thousands. Viewers of Minecraft on twitch has gradually increased between 2018 and 2020 but drastically increased beetween jan 2020 and Nov 2020.",
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|
[] | [] | [
{
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{
"data": "Describe this chart.",
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{
"data": "This is a area plot titled Average viewers of Minecraft on Twitch worldwide from January 2018 to November 2020 (in 1,000s). Month is measured using a linear scale from 2018 to 2020 along the x-axis. There is a linear scale from 0 to 100 on the y-axis, marked Number of viewers in thousands. Minecraft viewing on Twitch sharply increased in the last few years.",
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[] | [] | [
{
"data": "0",
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{
"data": "Analyze the distribution shown in this chart.",
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{
"data": "This is a bar plot called Which of the following social and economic issues concern you the most ?. The x-axis shows Response along categorical scale from Environment to Taxes while the y-axis measures Share of respondents along scale from 0.0 to 0.6. The main issue is finding a job which would fit in with maslows hierarchy of needs. Once you have a job and have income you worry about other things like the taxation you pay; how much is in your pocket. Surprisingly the environment is very high up, this is surprising.",
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[] | [] | [
{
"data": "0",
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{
"data": "Analyze the distribution shown in this chart.",
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{
"data": "This is a bar chart named Share of prisoners under sentence of death in the United States at year-end 2018 , by age group. The x-axis plots Years of age while the y-axis plots Share of death row prisoners. Death rates have peaked in pensioners in the United States.",
"modality": "text",
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[] | [] | [
{
"data": "0",
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{
"data": "What insights can be drawn from this chart?",
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{
"data": "This is a bar chart named Share of prisoners under sentence of death in the United States at year-end 2018 , by age group. The x-axis plots Years of age while the y-axis plots Share of death row prisoners. Share of prisoners under sentence of death in the United States was the highest among 45-49 years old. It was the lowest among those aged 18-19. The trend was clearly growing until the age of 45-49 where it reached its peak. Then it started to fall. The decline is remarkably pronounced after the age of 60.",
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[] | [] | [
{
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{
"data": "Describe the relationship between variables in this chart.",
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{
"data": "This bar plot is called Number of fan club members of FC Bayern Munich from 2005/06 to 2018 (in 1,000s). The x-axis measures Number of fan club members in thousands while the y-axis plots Season. There are thousands of Bayern Munich fans and this number has seen a steady growth over the last twelve years. The number of fans has grown by about a third.",
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[] | [] | [
{
"data": "0",
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{
"data": "What does this chart reveal about the data?",
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{
"data": "This is a line diagram labeled Total number of users of payment app Tikkie in the Netherlands from 2016 to 2019 (in millions). The y-axis measures Total number of users in millions. On the x-axis, Year is drawn. The growth of users increased the most between 2018 and 2019 (users nearly doubled from nearly 3 million to 6 million). From 2017 users have gone from approximately 1/4 million to 6 million.",
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[] | [] | [
{
"data": "0",
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{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
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{
"data": "Here a bar diagram is named Domestic leagues with the most players at the 2018 FIFA World Cup in Russia. The x-axis plots Number of players along linear scale with a minimum of 0 and a maximum of 100 while the y-axis shows association football league with categorical scale starting with 1.Bundesliga (Germany) and ending with Süper Lig (Turkey). The English Premier League has the greatest number of players at the World Cup.",
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[] | [] | [
{
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{
"data": "Summarize the key information in this chart.",
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{
"data": "Here a bar plot is titled Average ticket price Tampa Bay Lightning (NHL) games from 2005/06 to 2014/15 (in U.S. dollars). On the y-axis, Year is defined along a categorical scale starting with 05/06 and ending with 14/15. A linear scale from 0 to 40 can be seen along the x-axis, labeled Average ticket price in U.S. dollars. bar chart no significant change. the trend is in 08/09 - 12/13.",
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[] | [] | [
{
"data": "0",
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{
"data": "Explain the trends shown in this chart.",
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{
"data": "Here a is a line chart labeled Number of levothyroxine prescriptions in the U.S. from 2004 to 2017 (in millions). The y-axis plots Total prescriptions in millions as a linear scale of range 0 to 120. Year is defined on the x-axis. There is a positive correlation with the increasing year and total prescription in millions. After 2016 there is a strong rapid linear decline in the total prescription in millions despite the 2014-16 2 year block having the most increase in total prescription in millions. The total highest prescription is just before 2016.",
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[] | [] | [
{
"data": "0",
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{
"data": "Identify the main components of this chart.",
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{
"data": "This bar chart is called Self-isolation index during the coronavirus (COVID-19) outbreak in Russia on January 3 , 2021 , by largest city. The x-axis plots big city on a categorical scale from Chelyabinsk to Yekaterinburg. Index points is defined on the y-axis. The majorly of the big cities are at 3 index points. Omsk has the largest value of 3.5 index points. Kazan has the lowest value of 2.5 index points.",
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[] | [] | [
{
"data": "0",
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{
"data": "Summarize the key information in this chart.",
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{
"data": "This is a bar plot called Best-selling music albums on digital music platforms in China in 2019 (in millions). A linear scale from 0.0 to 3.5 can be found on the x-axis, labeled Number of units sold in millions. The y-axis plots human. Among the 10 best selling albums most are similar in units sold except for 3 which sold more than double.",
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[] | [] | [
{
"data": "0",
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{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
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{
"data": "Here a is a bar graph named Number of passenger journeys on the Docklands Light Railway between 2000/01 and 2019/20 (in millions). Passenger journeys in millions is plotted as a linear scale from 0 to 120 along the x-axis. Year is defined on a categorical scale from 00/01 to 19/20 on the y-axis. More and more people are using the docklands railway. In 2016/17 it recorded its highest amount of passemger journeys recorded.",
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[] | [] | [
{
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"data": "Describe this chart.",
"modality": "text",
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{
"data": "Here a is a bar graph named Number of passenger journeys on the Docklands Light Railway between 2000/01 and 2019/20 (in millions). Passenger journeys in millions is plotted as a linear scale from 0 to 120 along the x-axis. Year is defined on a categorical scale from 00/01 to 19/20 on the y-axis. The number of journeys has almost tripled during the years shown, with smalls decreases in 2017\\18 and 19\\20.",
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[] | [] | [
{
"data": "0",
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{
"data": "Summarize the key information in this chart.",
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{
"data": "This is a area graph named Turnover from retail sale of tools and equipment for house and garden in the United Kingdom (UK) from 2008 to 2018 (in million GBP). The x-axis shows Year while the y-axis measures Turnover in million GBP. The line starts fairly evenly. There is then a general upward trend to 2013. There is then a small dip in 2014 before rising more sharply this time.",
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[] | [] | [
{
"data": "0",
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{
"data": "Explain the correlation depicted in this chart.",
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{
"data": "This is a area diagram named Per capita consumption of frozen yogurt in the United States from 2000 to 2019 (in pounds). The y-axis shows Per capita consumption in pounds while the x-axis plots Year. Consumption of frozen yogurt in the USA has halved by a rate of some 2 pounds consumption to 1 pound from the year 2000 to 2016.",
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[] | [] | [
{
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{
"data": "Analyze the distribution shown in this chart.",
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{
"data": "Here a line chart is called Net revenue generated by Activision from 2007 to 2019 (in million U.S. dollars). The y-axis measures Revenue in million U.S. dollars while the x-axis plots Year. The revenue increased to over 3000 million dollars in 2009 and took a hit in 2016 decreasing to below 2500 million dollars.",
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[] | [] | [
{
"data": "0",
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{
"data": "What insights can be drawn from this chart?",
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{
"data": "Sales volume of tea manufactured in the United Kingdom (UK) from 2008 to 2019 (in tons) is a area diagram. The x-axis shows Year while the y-axis measures Sales volume in tonnes. Since 2013 sales in tea have dropped to around 100,000 tonnes.",
"modality": "text",
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[] | [] | [
{
"data": "0",
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{
"data": "What is the chart's main message or takeaway?",
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{
"data": "This is a bar diagram labeled Singapore : Total population from 2015 to 2025 (in million inhabitants). The y-axis plots Year on categorical scale with 2015 on one end and 2025* at the other while the x-axis measures Inhabitants in millions on linear scale of range 0 to 6. The population in Singapore is predicted to increase after 2022.",
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[] | [] | [
{
"data": "0",
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{
"data": "Describe this chart.",
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{
"data": "This is a bar diagram labeled Singapore : Total population from 2015 to 2025 (in million inhabitants). The y-axis plots Year on categorical scale with 2015 on one end and 2025* at the other while the x-axis measures Inhabitants in millions on linear scale of range 0 to 6. Overall the trend of Singaporean residents are increasing year on year. It is predicted to be over 6 million residents in 2025.",
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[] | [] | [
{
"data": "0",
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{
"data": "Describe the relationship between variables in this chart.",
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{
"data": "This is a area plot titled Annual sales and marketing expenditure of Twitter from 2010 to 2019 (in million U.S. dollars). The x-axis shows Year using linear scale with a minimum of 2010 and a maximum of 2018 while the y-axis shows Annual spending in million U.S. dollars with linear scale of range 0 to 10. Spending increased dramatically from 2012 to 2015.it continued at a steadier pace to its peak in 2016 afterwhich it declined in 2017 to the levels in 2014.it then reverted back to its peak.",
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[] | [] | [
{
"data": "0",
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{
"data": "What does this chart reveal about the data?",
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{
"data": "Average age of ocean cruise passengers in the United Kingdom (UK) from 2005 to 2018 is a line chart. Age in years is plotted along the y-axis. The x-axis plots Year with a linear scale of range 2006 to 2016. Every year passengers are all above the age of 50. They are all in the same age range and there is no one younger. The graph suggests people in the same age group go on this cruise.",
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[] | [] | [
{
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"data": "Analyze the distribution shown in this chart.",
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{
"data": "Average age of ocean cruise passengers in the United Kingdom (UK) from 2005 to 2018 is a line chart. Age in years is plotted along the y-axis. The x-axis plots Year with a linear scale of range 2006 to 2016. There seems to be no significant relationship between the average age of ocean cruise passengers in the UK from 2015 to 2018 but there seems to be a dip between 2006 and 2008.",
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "Highlight the significant data points in this chart.",
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"role": "user"
},
{
"data": "This area diagram is named Oman : Youth unemployment rate from 1999 to 2020. The y-axis plots Youth unemployment rate on a scale of range 0.00 to 0.15. The x-axis plots Year. Youth unemployment has not changed too drastically, with 2007 seeing the lowest amount of unemployment.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
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{
"data": "Explain the trends shown in this chart.",
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{
"data": "This is a area plot labeled Number of participants in gymnastics in the United States from 2006 to 2017 (in millions). The y-axis measures Number of participants in millions using linear scale of range 0 to 5 while the x-axis shows Year on linear scale with a minimum of 2006 and a maximum of 2016. From the area chart it can be sure that from 2006 to 2017 and after wards there is a minimum of 3.7 millions of participants there in gymnastics in the United States.",
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "Highlight the significant data points in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This bar plot is titled Natural gas prices for households in Poland from 2010 to 2018 , semi-annually (in euro cents per kilowatt-hour). The y-axis measures Euro cents per kilowatt-hour with linear scale with a minimum of 0 and a maximum of 6 while the x-axis measures Year with categorical scale starting with 2010 S1 and ending with 2018 S1. Natural gas prices for households in Poland from 2010 to 2018, semi annually (ine euro cents per kilowatt-hour) peaked at their highest in 2012 S2 and dropped to their lowest in 2016 S1.",
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[] | [] | [
{
"data": "0",
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"data": "Summarize the key information in this chart.",
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"role": "user"
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{
"data": "This bar plot is titled Natural gas prices for households in Poland from 2010 to 2018 , semi-annually (in euro cents per kilowatt-hour). The y-axis measures Euro cents per kilowatt-hour with linear scale with a minimum of 0 and a maximum of 6 while the x-axis measures Year with categorical scale starting with 2010 S1 and ending with 2018 S1. Numbers have remained fairly consistent. Peak was 2012 S2 and low was 2016 S1.",
"modality": "text",
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[] | [] | [
{
"data": "0",
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{
"data": "Describe this chart.",
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{
"data": "Population density in Ohio from 1960 to 2018 is a line chart. The y-axis shows Number of residents per square mile with linear scale from 0 to 300 while the x-axis shows Year along linear scale with a minimum of 1960 and a maximum of 2010. The density of population has increased over 58 years.",
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[] | [] | [
{
"data": "0",
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{
"data": "Describe this chart.",
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{
"data": "This is a bar chart named Budget balance in the United States from 2015 to 2025 in relation to gross domestic product (GDP). The y-axis plots Budget balance to GDP ratio along categorical scale starting with −0.20 and ending with 0.00 while the x-axis plots Year on categorical scale starting with 2015 and ending with 2025*. 2020 shows a year with the lowest budget balance to GDP ratio.",
"modality": "text",
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[] | [] | [
{
"data": "0",
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{
"data": "Describe the relationship between variables in this chart.",
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{
"data": "Here a line plot is titled Lebanon : Urbanization from 2009 to 2019. The y-axis measures Share of urban population in total population. There is a linear scale of range 2010 to 2018 along the x-axis, marked Response. The urbanisation rate increased very slightly from about 0.95 to almost 1.",
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[] | [] | [
{
"data": "0",
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"data": "Describe the relationship between variables in this chart.",
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"data": "Here a is a line diagram called Niger : Urbanization from 2009 to 2019. The y-axis shows Share of urban population in total population with scale from 0.00 to 0.15 while the x-axis measures Response with linear scale with a minimum of 2010 and a maximum of 2018. The share of Urban Population is very even from 2009 to 2017, with a slight growth from 2017 to 2019.",
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[] | [] | [
{
"data": "0",
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"data": "Identify the main components of this chart.",
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{
"data": "This bar diagram is labeled Occupations with high fatal work injury rates in the U.S. in 2019. The y-axis shows Rate per 100,000 full-time equivalent workers with linear scale of range 0 to 150 while the x-axis measures profession using categorical scale with Aircraft pilots and flight engineers on one end and Structural iron and steel workers at the other. The lowest incidence is 20 for ground maintenance workers. The highest incidence is 148 for fishers and fishing industry workers. The fishing industry is an outlier as the other industries' range is between 20 and 70. Out of 10 industries depicted, 6 have incidence below 50. 3 have incidence between 55 and 70. The mean, if we disregard the fisheries, seems to be around 40. The chart is difficult to read.",
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[] | [] | [
{
"data": "0",
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{
"data": "Explain the trends shown in this chart.",
"modality": "text",
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},
{
"data": "This bar diagram is labeled Occupations with high fatal work injury rates in the U.S. in 2019. The y-axis shows Rate per 100,000 full-time equivalent workers with linear scale of range 0 to 150 while the x-axis measures profession using categorical scale with Aircraft pilots and flight engineers on one end and Structural iron and steel workers at the other. Fishers and related fishing workers have the highest fatal work injury rates in the United States in 2019 (almost 150 per 100,000). Grounds maintenance workers have the lowest.",
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[] | [] | [
{
"data": "0",
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{
"data": "Describe the pattern or trend evident in this chart.",
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{
"data": "Here a area graph is named Vietnam : Fertility rate from 2008 to 2018. The y-axis measures Number of children born per woman while the x-axis measures Year. Over the 10 year period the fertility rate in Vietnam is gradually increasing from around 1.9 Children born per woman in 2008 to about 2.1 children in 2018.",
"modality": "text",
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}
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "Explain the trends shown in this chart.",
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{
"data": "Here a area graph is named Vietnam : Fertility rate from 2008 to 2018. The y-axis measures Number of children born per woman while the x-axis measures Year. In the years 2008 to 2018 the average number of women born per woman in Vietnam has increased.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "What is the chart's main message or takeaway?",
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"role": "user"
},
{
"data": "This is a bar graph titled Natural gas prices for households in Spain from 2010 to 2018 , semi-annually (in euro cents per kilowatt-hour). The x-axis measures Euro cents per kilowatt-hour on a linear scale of range 0 to 10. There is a categorical scale starting at 2010 S1 and ending at 2018 S1 on the y-axis, labeled Year. Gas prices were lower between 2010- 2011 - they rose after that but remained stable.",
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"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
"role": "user"
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{
"data": "This line chart is titled Average annual wages in Portugal from 2000 to 2019 (in euros). The y-axis shows Average annual wages in euros as linear scale from 0 to 20,000 while the x-axis shows Year using linear scale with a minimum of 2000 and a maximum of 2015. The average income in Portugal over 20 years, from 2000 to 2019, hasn't varied massively. The maximum variation seems to occur between 2011 and 2012. Nevertheless, average income in Portugal fluctuates between 17000 and 18500 a year.",
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[] | [] | [
{
"data": "0",
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"data": "Analyze the distribution shown in this chart.",
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{
"data": "This line graph is named Monthly consumer price index (CPI) of lamb and goat meat in Italy from January 2019 to November 2020. There is a linear scale from 0 to 100 along the y-axis, labeled Consumer price index*. Month is drawn on the x-axis. The price of meat in Italy has risen fairly steadily over the course of two years. The price of meat has been over 100 on the consumer price index between january 2019 and november 2020.",
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[] | [] | [
{
"data": "0",
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{
"data": "Identify the main components of this chart.",
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{
"data": "Here a bar graph is labeled Employment in United States copper mines and mills from 2006 to 2019. The x-axis plots Number of employees with linear scale with a minimum of 0 and a maximum of 12,000 while the y-axis shows Year as categorical scale starting with 2006 and ending with 2019*. Periods found difficult to recruit and retain staff.",
"modality": "text",
"role": "assistant"
}
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[] | [] | [
{
"data": "0",
"modality": "image",
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{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
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},
{
"data": "Number of hospital beds in Finland from 2008 to 2018 is a line diagram. The x-axis measures Year. There is a linear scale with a minimum of 0 and a maximum of 30,000 on the y-axis, marked Number of hospital beds. Hospital beds in Finland have be largely falling during the time period of the charr from 30 thousand to 19 thousand. In recent years a slight increase can be seen,.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
},
{
"data": "Number of hospital beds in Finland from 2008 to 2018 is a line diagram. The x-axis measures Year. There is a linear scale with a minimum of 0 and a maximum of 30,000 on the y-axis, marked Number of hospital beds. The number of hospital beds in Finlad linearly decreased from 2008 to 2017 (trough) and slightly increased up to 20,000 beds in 2018.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Identify the main components of this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a bar plot labeled Number of plumbing and HVAC contractor establishments in Canada in 2019 , by province. There is a linear scale of range 0 to 10,000 along the x-axis, marked Number of establishments. province of Canada is measured along the y-axis. Ontario has over 10,000 plumbing and HVAC contractor establishments. All other provinces have under 6,000 establishments. Nunavut has none.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This line diagram is named Waste Management Inc. 's operating revenue from FY 2007 to FY 2019 (in million U.S. dollars). Year is defined along the x-axis. A linear scale from 0 to 15,000 can be found on the y-axis, marked Operating revenue in million U.S. dollars. The operating revenue has not increased by much, although the increase is steady. I’m 2007 the value was slightly under 15 million dollars, and presently the value is slightly over 15 million dollars. There have been decreases in revenue over time, but the trend increases overall.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "This is a area graph named Poverty rate in Michigan from 2000 to 2019. Along the x-axis, Response is plotted as a linear scale of range 2000 to 2015. Percentage of population is defined along a scale from 0.00 to 0.15 on the y-axis. The poverty rate in Michigan increased between 2000 and 2011. After 2011, it began to drop until 2019. The lowest poverty rate of around 10% was in 2000. The highest poverty rate of around 19% was in 2011.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a bar chart labeled Natural gas production in Italy in 2018 , by region (in standard cubic meters). The x-axis measures Production in standard cubic meters with linear scale of range 0 to 3,500,000,000 while the y-axis shows region of Italy along categorical scale with Abruzzo on one end and Veneto at the other. The overwhelming majority of natural gas production in Italy comes from off-shore sources. Apulia, Sicily, Molise and Emilia-Romagna are the only regions of Italy with any notable natural gas production.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Analyze the distribution shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This area diagram is titled Value per head of cattle and calves in the U.S. from 2001 to 2018 (in U.S. dollars). A linear scale of range 2005 to 2015 can be seen along the x-axis, labeled Year. A linear scale with a minimum of 0 and a maximum of 1,500 can be seen on the y-axis, marked Value per head in U.S. dollars. The value per head of cattle and calves stayed quite stable from 2000 for a few years. The value per head of cattle and calves sharply increased in 2005 to almost double the price but then fell in the next five years. After 2010 the value per head of cattle and calves once again rose sharply and for around five years, the price was almost treble what it was originally. After 2015 the value per head of cattle and calves has declined but looks to show signs of recovery and increase again.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the trends shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Number of hospital beds in Spain from 2010 to 2020 is a line graph. The x-axis plots Year while the y-axis shows Number of hospital beds. The chart shows that the amount of hospital beds has remained fairly constant for the 10 years shown.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the trends shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a line graph is titled Total Nike retail stores worldwide from 2009 to 2020. A linear scale from 0 to 1,200 can be found on the y-axis, marked Number of retail stores. A linear scale with a minimum of 2010 and a maximum of 2018 can be seen on the x-axis, marked Year. The number of stores increases over time from 2010 to 2012, a small decrease is the observed over the next year. There is another increase until 2018, the graph then decreases after this date. The peak amount of shops is in 2018 at just under 1200 shops, up from just under 700 shops at the beginning of the graph. The drop in shops in 2013 takes the number of shops to around 750.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Highlight the significant data points in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Annual volume of Scotch whisky released for consumption in the United Kingdom (UK) from 2000 to 2015 (in 1,000 litres) is a area plot. A linear scale of range 0 to 35,000 can be seen along the y-axis, marked Volume in thousand litres. There is a linear scale from 2000 to 2014 on the x-axis, labeled Year. In the 15years the volume of Scotch whiskey that has been released for consumption has declined.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a bar graph labeled Number of employees of Ryanair from fiscal year 2011 to 2020. The x-axis plots Year while the y-axis measures Number of employees. The number of employees of Ryanair has increased from 2011 to 2020. In 2011 there were approximately 8,000 employees, whereas in 2020 there were approximately 19,000 employees.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Identify the main components of this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Leading countries with the most mobile broadband subscriptions per 100 inhabitants in 2017 is a bar plot. The y-axis plots Subscriptions per 100 inhabitants while the x-axis shows Country. china has the most broadband subscribers along with united arab emerates.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Analyze the distribution shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Leading countries with the most mobile broadband subscriptions per 100 inhabitants in 2017 is a bar plot. The y-axis plots Subscriptions per 100 inhabitants while the x-axis shows Country. China had the most subscriptions at 325. China and United Arab are the highest 2 countries and the rest are averaged at about 125.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Highlight the significant data points in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Leading countries with the most mobile broadband subscriptions per 100 inhabitants in 2017 is a bar plot. The y-axis plots Subscriptions per 100 inhabitants while the x-axis shows Country. All countries have more than 100 subscriptions per 100 inhabitants in 2017. Two Asian countries far exceed 100 subscriptions per 100 inhabitants. China has more than three times the amount of subscriptions per per 100 inhabitants than the countries with the least subscriptions. The majority of the countries are between 100 and 150 subscriptions per 100 inhabitants. The UAE is a small country yet is the country with the second highest amount of subscriptions per 100 inhabitants.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This line plot is named Employment in restaurant and mobile food service businesses in the United Kingdom (UK) from 2008 to 2018 (in 1,000s). The y-axis shows Number of employees in thousands along linear scale of range 0 to 1,000 while the x-axis plots Year as linear scale of range 2008 to 2016. Employee numbers fell in both 2009 and 2014. The sharpest fall was in 2009. The 2009 fall skews the rest of the data enough that if a trend line were to be drawn from 2008-2018, it would show a very different picture to a trend line drawn from 2009 to 2018. The trends 2009-13 and 2014-18 show similar rates of growth, with blips occurring in 2009 and 2014.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "Here a area chart is named Active coronavirus (COVID-19) cases in Italy since February 2020 (as of January 5 , 2021). The x-axis measures Month while the y-axis shows Number of active cases. There's an initial increase in cases in April 21, before reducing down to little between july-october. Cases increase significantly, to almost 8x that of April's cases, in October. The cases begin to drop off sharply towards december, though remains high, just below 600000.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Box office gross for horror movies in North America as of September 2020 (in million U.S. dollars) is a bar chart. The y-axis plots film while the x-axis plots Box office revenue in million U.S. dollars. Only 2 horror films in North America as of September 2020 grossed over 20 million dollar while 4 films grossed less than 10 million dollars.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a line plot titled KBR Inc. 's global revenue from FY 2009 to FY 2019 (in billion U.S. dollars). The x-axis plots Year along a linear scale from 2010 to 2018. Along the y-axis, Revenue in billion U.S. dollars is measured. The company's global revenue has been decreasing every year, it reached a plateau in 2015, and has began increasing again since 2017.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the trends shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a line plot titled Social welfare expenditure in Sweden from 2009 to 2019 (in million SEK). Along the x-axis, Year is drawn. There is a linear scale with a minimum of 0 and a maximum of 12,000 on the y-axis, labeled Social welfare expenditure in million SEK. 2010 and 2018 were the years of highest social welfare expenditure in Sweden. 2014 and 2016 had the lowest Swedish social welfare expenditure. The largest drop in expenditure was between 2010 and 2012. From 2016 to 2019 there has been an upward trend in social welfare expenditure.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "This is a bar diagram labeled Most popular health and fitness apps in the United States as of May 2018 , by reach. The y-axis shows Mobile reach with linear scale of range 0.00 to 0.12 while the x-axis measures business with categorical scale with Fitbit on one end and Weight Watchers at the other. Fit bit was by far the most popular in phone reach than any other the other fitness apps.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a bar diagram labeled Most popular health and fitness apps in the United States as of May 2018 , by reach. The y-axis shows Mobile reach with linear scale of range 0.00 to 0.12 while the x-axis measures business with categorical scale with Fitbit on one end and Weight Watchers at the other. Fitbit has the largest mobile reach overall by a large margin followed by MyFitnessPal and S Health.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Identify the main components of this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a line chart called Indiana Pacers franchise value from 2003 to 2020 (in million U.S. dollars). The x-axis plots Year with a linear scale of range 2005 to 2015. The y-axis measures Franchise value in million U.S. dollars with a linear scale with a minimum of 0 and a maximum of 1,500. Value of the pacers remains fairly consistent from 2003 to around 2012 at under 500 million dollars. From 2012 to 2015 there is a sharp rise going to around 800 million dollars. A small platue in value occurs between 2015 and 2017/18 followed by a final large rise to 1.5 Billion dollars to 2020.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Highlight the significant data points in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Neodymium oxide price worldwide from 2009 to 2025 (in U.S. dollars per metric ton) is a area diagram. On the y-axis, Price in U.S. dollars per metric ton is plotted with a linear scale of range 0 to 200,000. Year is plotted on the x-axis. The line indicates a dramatic increase in the neodymium oxide price between 2009 and 2011, rising from under 25,000 to nearly 300,000 US dollars per metric ton. This peak then subsided to about 40,000 by 2016. The price is projected to remain relatively stable at 40,000 until 2023 before increasing to 80,000 per metric ton by 2025.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Neodymium oxide price worldwide from 2009 to 2025 (in U.S. dollars per metric ton) is a area diagram. On the y-axis, Price in U.S. dollars per metric ton is plotted with a linear scale of range 0 to 200,000. Year is plotted on the x-axis. Neodymium oxide price reached its peak around the year 2011. The price of Neodymium oxide was the lowest in 2016. After reaching its peak, the price of Neodymium oxide went down sharply. We could recently observe the significant increase of the price of Neodymium oxide.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Kuwait : Total population from 2015 to 2025 (in million inhabitants) is a bar plot. Inhabitants in millions is drawn on the x-axis. There is a categorical scale from 2015 to on the y-axis, labeled Year. Over the past 10 years Kuwait has had a steady increase in population.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the trends shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Kuwait : Total population from 2015 to 2025 (in million inhabitants) is a bar plot. Inhabitants in millions is drawn on the x-axis. There is a categorical scale from 2015 to on the y-axis, labeled Year. There has been a steady increase in inhabitants in Kuwait from 2015 to 2018, pushing from just over 4 million inhabitants to over 4.5 million. The predicted growth continues after this, reaching a predicted 5 million in 2021, and by 2025 it is predicted that there will be over 5.5 million inhabitants in Kuwait.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Identify the main components of this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Number of individuals identifying as Muslim in Finland from 2009 to 2019 is a area diagram. The y-axis plots Number of people while the x-axis plots Year. There is a steady increase in number of people identifying as muslims in Finland.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What insights can be drawn from this chart?",
"modality": "text",
"role": "user"
},
{
"data": "Ranking of the strongest Indonesian brands in 2020 , by brand strength index is a bar diagram. The y-axis measures Brand strength index on linear scale of range 0 to 100 while the x-axis measures state-owned enterprise along categorical scale starting at BCA and ending at XL. All of the brands have a fairly similar brand strength index. The brand with the highest brand strength index is BCA, whilst Umild.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the correlation depicted in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Ranking of the strongest Indonesian brands in 2020 , by brand strength index is a bar diagram. The y-axis measures Brand strength index on linear scale of range 0 to 100 while the x-axis measures state-owned enterprise along categorical scale starting at BCA and ending at XL. All the brand strengths are over 70. 6 of the 10 companies have brand strength over 80. BCA has the highest brand strength and Umild has the lowest brand strength.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Total number of points scored by Kobe Bryant in the NBA from 1996 to 2016 , by season is a bar chart. A linear scale from 0 to 3,000 can be found on the y-axis, marked Number of points scored. Along the x-axis, Year is defined. The number of points scored in a season trended upwards with years passed up to the mid point and then the trend reversed and the number of points fell on a year by year basis.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Estimate the changes over time shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a line chart is labeled Direct investment position of the United States in Mexico from 2000 to 2019 (in billion U.S. dollars , on a historical-cost basis). The x-axis plots Year along linear scale from 2000 to 2015 while the y-axis shows Direct investments in billion U.S. dollars with linear scale of range 0 to 100. There has been an overall increase in direct investment since 2000 with over a 60 billion dollar net increase.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a bar plot named PC penetration per capita in Western Europe from 2000 to 2015 (in percent). Penetration in percent is plotted along the y-axis. The x-axis shows Year as a categorical scale starting with 2000 and ending with 2015*. PC penetration per capita in western Europe has increased year on year from 2000 to 2015 with a peak of 0.5 in 2015.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
},
{
"data": "Number of ESPRIT Shop-in-Stores worldwide in 2019 , by country is a bar graph. A categorical scale with Austria on one end and United Kingdom at the other can be seen along the x-axis, marked Country. There is a linear scale from 0 to 2,000 along the y-axis, marked Number of Shop-in-Stores. Germany is way ahead in this example. Sandemanian countries all faired very low.. Uk and Ireland there was low. In the bar chart France which was significantly lower was next in line after Germany.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the trends shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This bar graph is titled Share of households with internet access in Romania from 2007 to 2018. Along the y-axis, Share of households is drawn on a linear scale of range 0.0 to 0.8. A linear scale with a minimum of 2007 and a maximum of 2018 can be found on the x-axis, labeled Response. As time goes on, greater shares of households have internet access in Romania. The increase of households that have internet access from 2013 to 2014 was the least compared to the increase in other years.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Estimate the changes over time shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This bar graph is titled Share of households with internet access in Romania from 2007 to 2018. Along the y-axis, Share of households is drawn on a linear scale of range 0.0 to 0.8. A linear scale with a minimum of 2007 and a maximum of 2018 can be found on the x-axis, labeled Response. The response rate increased every year. The share of households with internet access in Romania increased every year.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Analyze the distribution shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This area graph is titled Share of adult internet users in the United States who use social networking sites from 2005 to 2015. The y-axis shows Percentage of internet users along linear scale from 0.0 to 0.8 while the x-axis shows Response on linear scale of range 2006 to 2014. In 2014, nearly 80% of all adult internet users were recorded to have used social networking sites. In 2005, only about 10% of all adult internet users used social networking sites. The use of social networking sites increased beaten 2005 and 2015.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
"role": "user"
},
{
"data": "This area graph is titled Share of adult internet users in the United States who use social networking sites from 2005 to 2015. The y-axis shows Percentage of internet users along linear scale from 0.0 to 0.8 while the x-axis shows Response on linear scale of range 2006 to 2014. The shares of adult internet users grew at a steady percentage rate from 2005 to 2008. The following two years saw a steep increase of just over 0.3% usage, before reverting back to slower but steady rise in users.",
"modality": "text",
"role": "assistant"
}
] |
|
[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Estimate the changes over time shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This line diagram is titled Canadian imports of bauxite from 2005 to 2019 (in 1,000 metric tons). The x-axis measures Year on linear scale from 2006 to 2018 while the y-axis shows Imports in thousand metric tons on linear scale of range 0 to 4,000. The year with the lowest import of bauxite was 2009. Although the results fluctuate from year to year, the graph tends to show a general increase in bauxite imports over time, with the exception of 2009, where there was a large decrease in imports.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the relationship between variables in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a bar diagram is titled Value of Indian trade with ASEAN countries in FY 2019 , by country (in million U.S. dollars). Trade value in million U.S. dollars is measured along a linear scale from 0 to 25,000 on the y-axis. Country is measured on a categorical scale from Brunei to on the x-axis. The chart shows that the highest value of indian trade in 2019 was with Singapore (over 25,000 million US dollars). Indian trade with Laos, cambodia, brunei, myanmar and philipines was the lowest out of the ASEAN countries shown (below 5 million US dollars).",
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[] | [] | [
{
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{
"data": "Summarize the key information in this chart.",
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{
"data": "This bar diagram is called Favorite takeaway cuisine among consumers in the United Kingdom (UK) in 2017. Response is defined on the x-axis. The y-axis plots Share of respondents using a scale with a minimum of 0.00 and a maximum of 0.35. Chinese is the favourite takeaway cuisine among consumers in the United Kingdom in 2017.",
"modality": "text",
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[] | [] | [
{
"data": "0",
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{
"data": "Describe this chart.",
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{
"data": "Here a is a line graph titled Real Gross Domestic Product (GDP) of the federal state of New Mexico from 2000 to 2019 (in billion U.S. dollars). The y-axis plots Real GDP in billion U.S. dollars with linear scale of range 0 to 100 while the x-axis measures Year with linear scale of range 2000 to 2015. From 2000 to 2019 GDP in New Mexico has increased from approximately $75b to circa $100b.",
"modality": "text",
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}
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[] | [] | [
{
"data": "0",
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{
"data": "Describe the relationship between variables in this chart.",
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{
"data": "Kia 's operating profit from FY 2009 to FY 2019 (in trillion Korean won) is a area plot. There is a linear scale from 2010 to 2018 along the x-axis, marked Year. Operating profit in trillion Korean won is defined using a linear scale of range 0.0 to 3.5 along the y-axis. Kia's operating profit was highest between FY 2009-FY 2012, at 3.5 trillion Korean won. Kia's operating profit has been falling since FY 2012. It reached its lowest between FY 2016-FY 2018 at 0.5 trillion Korean won.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
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{
"data": "Estimate the changes over time shown in this chart.",
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{
"data": "Kia 's operating profit from FY 2009 to FY 2019 (in trillion Korean won) is a area plot. There is a linear scale from 2010 to 2018 along the x-axis, marked Year. Operating profit in trillion Korean won is defined using a linear scale of range 0.0 to 3.5 along the y-axis. Kia’s operating profit increased sharply until 2012. It then decreased slowly until 2016. In 2016, it took a sharp decrease from 2.5 to 0.5.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
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},
{
"data": "What insights can be drawn from this chart?",
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},
{
"data": "ICC Cricket Rankings : Leading Men 's One Day International countries worldwide as of September 2020 is a bar chart. Country is measured with a categorical scale starting with Afghanistan and ending with Zimbabwe on the x-axis. The y-axis plots Rating on a linear scale of range 0 to 120. As of September 2020 the ICC cricket rankings leading men in one day internationals shows England players have done the best out of 19 countries.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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},
{
"data": "What insights can be drawn from this chart?",
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{
"data": "Countries with the highest number of plastic surgeons in 2019 is a bar graph. There is a categorical scale starting at Argentina and ending at Venezuela along the x-axis, marked Country. A linear scale of range 0 to 7,000 can be seen along the y-axis, labeled Number of surgeons. The united states had the highest number of plastic surgeons. Brazil had the second highest number of positive surgeons. Peru had the lowest number of plastic surgeons.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
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},
{
"data": "Summarize the key information in this chart.",
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{
"data": "This is a area graph titled Bridgestone 's expenditure on research and development from FY 2009 to FY 2018 (in million Japanese yen). A linear scale with a minimum of 2010 and a maximum of 2016 can be seen along the x-axis, marked Year. A linear scale with a minimum of 0 and a maximum of 100,000 can be seen on the y-axis, labeled Expenditure in million Japanese yen. Bridgestone’s research expenditure has gone up over time, although it did dip in 2012. It now’s stands at about 110k.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
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},
{
"data": "Estimate the changes over time shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a area graph titled Bridgestone 's expenditure on research and development from FY 2009 to FY 2018 (in million Japanese yen). A linear scale with a minimum of 2010 and a maximum of 2016 can be seen along the x-axis, marked Year. A linear scale with a minimum of 0 and a maximum of 100,000 can be seen on the y-axis, labeled Expenditure in million Japanese yen. Across all financial years between 2009 and 2018, the expenditure in million Japanese yen doesn't drop below roughly 80,000. There is a steady increase from year 2012 to 2018.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe this chart.",
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},
{
"data": "Violent crime severity index in Canada in 2019 , by province is a bar chart. The x-axis plots Violent crime severity index on a linear scale of range 0 to 600. The y-axis shows Province. Nunavut had the highest violent crime severity index at nearly 600. Prince Edward island had the lowest at below 100. Most provinces had violent crime severity indexes around 100.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the trends shown in this chart.",
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{
"data": "This line chart is labeled Number of homicide cases in Taiwan from 2009 to 2019. A linear scale from 0 to 1,000 can be found along the y-axis, marked Number of cases. On the x-axis, Year is defined on a linear scale with a minimum of 2010 and a maximum of 2018. In 2009 there were nearly 1000 homocide cases in Taiwan. The number durastically reduced to until 2013 where there was a very slight increase, it then continued to drop quite steadily, in 2015 it went to less than 500 and I’m 2018 was at its lowest of 400 cases.",
"modality": "text",
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}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
},
{
"data": "Here a line graph is named Sales of cut flowers in Canada from 2010 to 2019 (in million Canadian dollars). The x-axis measures Year along linear scale from 2010 to 2018 while the y-axis measures Sales in million Canadian dollars with linear scale of range 0 to 150. Sales of cut flowers in canada has stayed fairly steady over the reported time period (2010 to 2018). There was a peak in 2013-2014 of 150 million canadian dollars, followed by a slight downward trend up to 2017 reaching low of approx 125 million. Overall the figures stayed between 125 million and 150 million throughout the study period.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What is the chart's main message or takeaway?",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a line chart named Annual expenditure on health per capita in South Korea from 2008 to 2018 (in 1,000 U.S. dollars). There is a linear scale from 2008 to 2016 along the x-axis, marked Year. Along the y-axis, Expenditure in thousand U.S. dollars is shown. Expenditures are gradually increasing throughout the years shown. Between 2012 and 2014 there was less of an increase as opposed to other ranges.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Analyze the distribution shown in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a area diagram called Number of road traffic fatalities in Slovakia from 2006 to 2019. There is a linear scale with a minimum of 2006 and a maximum of 2018 on the x-axis, marked Year. A linear scale with a minimum of 0 and a maximum of 700 can be found along the y-axis, marked Number of fatalities. sharp decrease in 2008 then steadily declining from 400 to 250 deaths from 2008 to 2018.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the pattern or trend evident in this chart.",
"modality": "text",
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},
{
"data": "This is a bar diagram named Thailand : Budget balance between 2015 to 2025 in relation to GDP. The y-axis plots Budget balance in relation to GDP as categorical scale with −0.05 on one end and 0.01 at the other while the x-axis shows Year on categorical scale starting at 2015 and ending at 2025*. Thailand's budget dipped sharply into deficit in 2020. Thailand's massive deficit lasted two years. In the aftermath of Thailand's budget deficit, Thailand's budget balance did not recover significantly within the following five years. In the three years following Thailand's budget balance deficit, there was no increase in recovery after the initial rebound.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the relationship between variables in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Here a area diagram is named Lebanon : Infant mortality rate from 2009 to 2019 (in deaths per 1,000 live births). There is a linear scale from 2010 to 2018 on the x-axis, marked Year. There is a linear scale of range 0 to 10 on the y-axis, labeled Deaths per 1,000 live births. Overall, infant mortality rates have declined from 9 per 1000 live births in 2009, to approximately 6 per 1000 live births in 2019.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Uzbekistan : Urbanization from 2009 to 2019 is a line chart. The y-axis measures Share of urban population in total population as linear scale from 0.0 to 0.5 while the x-axis measures Response along linear scale with a minimum of 2010 and a maximum of 2018. Quite a flat line of data, slightly increasing 2010/2011difficult to read due to the colour.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Uzbekistan : Urbanization from 2009 to 2019 is a line chart. The y-axis measures Share of urban population in total population as linear scale from 0.0 to 0.5 while the x-axis measures Response along linear scale with a minimum of 2010 and a maximum of 2018. In the period shown there is very little change in the share of urban population. In the period shown the share of urban population is almost exactly 0.5 throughout.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Describe the relationship between variables in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "This is a area graph named Average number of Caterpillar employees worldwide from FY 2006 to FY 2019 (in 1,000s). The x-axis measures Year while the y-axis plots Number of employees in thousands. The number of employees started off below 100 (in 1000s) at the beginning of 2006. It then peaked in 2012 with just under 120 (in 1000s). After that it was a steady decline to its first point of around 100 (in 1000s). Then has been a slow increase since to 2018.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "Explain the correlation depicted in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Annual number of hospital beds in the United Kingdom (UK) from 2000 to 2019 is a bar plot. A linear scale from 0 to 250,000 can be seen on the y-axis, marked Number of beds. A categorical scale from 2000 to 2019*** can be seen on the x-axis, marked Year. The chart is showing a trend of decreasing number of hospital beds in the UK since the year 2000. Especially big decrease happened between year 2009 and 2010. The number of hospital beds from the year 2000 has dropped by over 70.000 by the year 2019 leaving the total number at around 170.000.",
"modality": "text",
"role": "assistant"
}
] |
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
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{
"data": "Summarize the key information in this chart.",
"modality": "text",
"role": "user"
},
{
"data": "Annual number of hospital beds in the United Kingdom (UK) from 2000 to 2019 is a bar plot. A linear scale from 0 to 250,000 can be seen on the y-axis, marked Number of beds. A categorical scale from 2000 to 2019*** can be seen on the x-axis, marked Year. There was the highest number of beds in 2000. The number of beds is smaller by over 50000 in 2019 than it was in 2000. Between 2000 and 2009 there were over 200 000 beds. Between 2010 and 2019 were over 150 000 beds but much less than 200 000. The biggest fall in a number of beds was between 2009 and 2010.",
"modality": "text",
"role": "assistant"
}
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[] | [] | [
{
"data": "0",
"modality": "image",
"role": "user"
},
{
"data": "What does this chart reveal about the data?",
"modality": "text",
"role": "user"
},
{
"data": "Here a is a area graph called Value of onions , shallots , garlic and leeks imported to the United Kingdom (UK) from 2001 to 2019 (in 1,000 GBP). A linear scale with a minimum of 2005 and a maximum of 2015 can be found on the x-axis, labeled Year. A linear scale with a minimum of 0 and a maximum of 300,000 can be found on the y-axis, marked Import value in thousand GBP. The value of onions, shallots and leeks imported to the UK has increased significantly from 2001 to 2019.",
"modality": "text",
"role": "assistant"
}
] |