# data[].attributes.body
1. Type: bar

2. Subject: the amount of coffee produced

3. Category: four countries

4. Unit: millions of tonnes

5. Years: 1990 - 2010 (20 years)

# data[].attributes.body
1. Type: Line chart

2. Subject of the figure: the amount of money spent on books

3. Categories: 4 countries

4. Unit: US dollars (millions)

5. Years: 1995-2005 (10 years)

# data[].attributes.body
CHART 2:

1. Type: line chart

2. Subject of the figures: the amount of money spent on books

3. Categories: 4 countries

4. Unit: millions of US dollars

5. Years: 1995-2005 (11 years)

Chart 3

type: bar

subject of the figures: the amount of coffee produced

categories: four countries

unit: millions of tonnes

years: 1990 - 2010 (20 years)

# data[].attributes.body
Pic 2:
1. Type: line
2. Subject of the figures: the amount of money spent on books
3. Categories: four countries
4. Unit: millions of US dollars
5. Years: 1995 - 2005 (10 years)

Pic 3:
1. Type: bar chart
2. Subject of the figures: the amount of coffee produced
3. Categories: 4 different nations
4. Unit: millions tonnes
5. Years: 1990 - 2010 (20 years)

# data[].attributes.body
The line chart compares data on the amount of money spent on books in four different countries, measured US dollars, over a decade between 1995 and 2005.

# data[].attributes.body
1 Type: Bar chart

2 Subject of the figures: the amount of coffee produced

3 Categories: 4 countries

4 Unit: millions of tonnes

5 Years: From 1990 to 2010 (20 years)

# data[].attributes.body
The bar chart compares data on the amount of coffee produced in 4 various nations, measured in million of tonnes, over a period of 20 years between 1990 and 2010.

depicts

# data[].attributes.body
The bar chart compares data on the amount of coffee produced in four different countries, measured in millions of tonnes, over a period of 2 decades between 1990 and 2010

# data[].attributes.body
1 Type: Line chart

2 Subject of the figures: the amount of money spent on books

3 Categories: 4 countries

4 Unit: US dollars

5 Years: Between 1995 and 2005 (10 years)

# data[].attributes.body
The line chart compares data on the amount of money spent on books in four countries, measured in millions dollars, during a period of 10 years from 1995 to 2005.

The bar chart illustrates data on the amount of coffee produced from four different countries, measured in million of tonnes, during a period of 20 years from 1990 to 2010.

# data[].attributes.headline
Pic 2: The line chart compares data on the amount of money spent on books in four countries, measured in millions of US dollars, over a ten-year period from 1995 to 2005.

# data[].attributes.subject
Pic 2: The line chart compares data on the amount of money spent on books in four countries, measured in millions of US dollars, over a ten-year period from 1995 to 2005.

# data[].attributes.body
Pic 3: The bar chart compares data on the amount of coffee produced by four different nations, measured in millions tonnes, over a period of 20 years from 1990 to 2010

# data[].attributes.body
The line chart compares the amount of money spent on books in four different countries, measured in millions of dollars, over an eleven-year period from 1995 to 2005.

# data[].attributes.body
The bar chart compares data on the amount of time that users spent on social platforms by of four different types, measured in minutes, over a five-year period from 2016 to 2020.

# data[].attributes.body
The bar chart compares data on the amount of time that users spent on four different social platforms, measured in minutes, during a period of five years from 2016 to 2020.

# data[].attributes.body
The bar chart illustrates data on the amount of time that users spent on four different social platforms, measured in minutes, during a period of five years from 2016 to 2020.

# data[].attributes.body
The line chart compares data on the number of requests for information sent to a tourist office in the UK by three different methods, measured in requests / units, during a period of six months from January to June.

# data[].attributes.headline
1. Type: line chart.                             2. Subject of the figures: the number of requests for information at a tourist office in the United Kingdom.                                                   3. Categories: three different contact methods.                                  4. Unit: requests.                                5. Years: 6 months (Jan to June) 

# data[].attributes.subject
1. Type: line chart.                             2. Subject of the figures: the number of requests for information at a tourist office in the United Kingdom.                                                   3. Categories: three different contact methods.                                  4. Unit: requests.                                5. Years: 6 months (Jan to June) 

# data[].attributes.body
type: line

subject: requests for information at a tourist office

Categories: three ways to send requests

Unit: requests

year: Jan to Jun (5 months)

# data[].attributes.headline
The line chart compares the number of information requests received at a tourist office in the United Kingdom through three different contact methods, measured in request, over a six-month period from January to June.

# data[].attributes.subject
The line chart compares the number of information requests received at a tourist office in the United Kingdom through three different contact methods, measured in request, over a six-month period from January to June.

# data[].attributes.body
The line chart compares data on the number / quantity of requests for information at a tourist office in the UK through three different ways, measured in units, during a period of 6 months from Jan to Jun.

request for information = inquiry (n) = inquire (v)

inquiry desk

# data[].attributes.headline
The bar chart illustrates data on the proportion of young students / pupils learning to play four different musical instruments, during a period of ten years from 2005 to 2015.

# data[].attributes.subject
The bar chart illustrates data on the proportion of young students / pupils learning to play four different musical instruments, during a period of ten years from 2005 to 2015.

# data[].attributes.body
the proportion

the percentage

%

# data[].attributes.body
The bar chart compares data on the proportion of students being taught to play four various musical instruments, during a period of ten years from 2005 to 2015.

%

# data[].attributes.body
The bar chart compares data on the proportion of school children learning to play by four different musical instruments over a ten-year period from 2005 to 2015.

# data[].attributes.body
1. The amount of money spent on books in Germany inclined sightly from 80 million dollars to roughly 95 million dollars over the period.

2. There was a progressively rise by 20 million dollars in the amount of money spent on books by French over the period

3. A great growth was witnessed in the amount of money spent on books in Italy, with around 62 million dollars being reported in 2005.

4. The amount of money spent on book in Austria suffer a considerable climb by 41 million dollars after 10 years.

# data[].attributes.body
The number of passengers used Tram increased sharply from 20 to 95 thousand people in Navy town between 2012 and 2015

# data[].attributes.body
A moderate drop was seen in the number of passengers taking bus, with a disparity of around 10 thousand people being recorded .

There was a great rise in the number of passengers taking bus by over 25 thousand people in 2014

The number of passengers taking bus decreased steadily by approximate 10 thousand people in 2015

# data[].attributes.body
In 2013, the number of passengers who travelled train in Navy decreased sharply by 66 thousand people / users / passengers

There was a significant increase in the number of passengers who used the train in Navy in 2015. (figures?)

# data[].attributes.body
1. The quantity of time that users spent on Facebook fell remarkably by roughly 22 minutes over the period from 2016 to 2020.

2. There was a substantial rise from 22 minutes to relatively 45 minutes in the volume of time that users spent on Twitter over the period.

3. A significant growth was witnessed in the amount of time users spent on Snapchat, with relatively 45 minutes in 2019.
4. The amount of time users spent on Instagram experienced a sharp decline by approximately 30 minutes.

# data[].attributes.body
1. Type: line chart
2. Subject of the figures: the number of times that fast food were consumed by VN teenagers
3. Categories: three types fast food
4. Unit: times
5. Years: 25 years

The line graph compares data on the times when Vietnamese teenagers consumed three types of fast food, measured in the number of times eaten per year, during the period of 25 years from 1990 to 2015.

# data[].attributes.body
The line chart compares data on the number of times were consumed by Vietnamese teenagers three type of fast food , measured in times, over a period of 25 years from 1990 to 2015

# data[].attributes.body
With an approximate disparity of 55 times being reported

# data[].attributes.body
..., with an approximate disparity of 55 times being reported.

# data[].attributes.body
The amount of coffee produced in Brazil increased considerably to almost 2 million tons in 2010, which was two-fold higher than that of others three countries combined by nearly 1 million ton in the same year.

# data[].attributes.body
A sharp increase was been witnessed in the amount of coffee that Brazil produced, with almost two million tons being recorded in 2010, which was two-fold higher compared to that of the combined total of the other three countries by approximately a million ton in the same year.

# data[].attributes.body
The amount of information received by visiting the office rose significantly to over 2000 requests in June, which was five-fold higher than that email / letters by approximately 1500 requests in the same month.

# data[].attributes.body
The number of requests made by telephone rose sharply to about 1,600 in June, which was approximately four times higher than that of letter or email in the same year.

# data[].attributes.body
The amount of time that users spent on Twitter grew considerably to over 45 minutes in 2020, which was nine-fold greater than that of Facebook by roughly 40 minutes in the same year.

# data[].attributes.body
The time spent on Facebook inclined sharply to over 24 minutes in 2016, which was two-fold higher than that of snapchat by approximately 12 minutes in the same year

time (1) thoi gian

times lan

# data[].attributes.body
1. strawberry was the most popular jam of the remaining jam

2. Plum was only to witness its trend going downwards

# data[].attributes.body
Brazil had always been the biggest / leading coffee producer over the period while Colombia was the only to witness this trend going downwards.

# data[].attributes.body
In general, visiting the office as a way to inquire had seen its popularity increase over time while post was the only to experience its trend going downwards

In general,

see something do (v0)

I saw the monkey climb the tree (see 100%)

I saw the monkey climbing the tree (see <100%)

# data[].attributes.headline
Chart 3.  In general, Brazil had always been the dominant in coffee production for the industry while Colombia was the only to witness its trend going downwards.

# data[].attributes.subject
Chart 3.  In general, Brazil had always been the dominant in coffee production for the industry while Colombia was the only to witness its trend going downwards.

# data[].attributes.body
tenant

apply

application

applicant