# data[].attributes.headline
It is easy to estimate/proportion results

# data[].attributes.subject
It is easy to estimate/proportion results

# data[].attributes.headline
to see the objects or thing more clearly

# data[].attributes.subject
to see the objects or thing more clearly

# data[].attributes.body
to compare the amount if objects easier

# data[].attributes.body
show each data category in a frequency distribution.

# data[].attributes.body
i think

# data[].attributes.headline
patrick says :                              A line graph provides several benefits compared to other data representation methods such as a bar or pie chart. There are three characteristics which make it common in many types of work, including heavy usage in scientific endeavors or longitudinal studies.One of the most important benefits is the longitudinal aptitude of a line graph. The timeline for a tracked event can easily be plotted along an x/y axis. This shows a graphic representation of the rise or fall of data points. Missing data can be plotted along the line with some degree of certainty or error probability. This is also seen with graph convergence, which is most often seen in economic data points. For example, the cost a consumer is willing to pay for an item can be crossed with a profitable sell point for the company to reach the ideal market price.Another benefit of the line graph is the comparison factor as mentioned briefly above. Two or more items can be compared to cross points, which allows for at the minimum anecdotal evidence of a connection. It should be noted not all line graphs will have the same starting point on a linear graph representing a longitudinal study. The creation of a start point along the axis can demonstrate the continuation or inclusion of different data in time.The final benefit, as odd as it sounds, is the universal color reproduction of the line graph. Line graphs allow for many more ways to represent the data points. A bar graph can use color to differ between compared items, but colors do not always translate across different print mediums. However, line graphs can use color or different line styles such as dots or dashes. While it seems like a simple item, this advantage allows line graphs to better transfer to black/white paper print

# data[].attributes.subject
patrick says :                              A line graph provides several benefits compared to other data representation methods such as a bar or pie chart. There are three characteristics which make it common in many types of work, including heavy usage in scientific endeavors or longitudinal studies.One of the most important benefits is the longitudinal aptitude of a line graph. The timeline for a tracked event can easily be plotted along an x/y axis. This shows a graphic representation of the rise or fall of data points. Missing data can be plotted along the line with some degree of certainty or error probability. This is also seen with graph convergence, which is most often seen in economic data points. For example, the cost a consumer is willing to pay for an item can be crossed with a profitable sell point for the company to reach the ideal market price.Another benefit of the line graph is the comparison factor as mentioned briefly above. Two or more items can be compared to cross points, which allows for at the minimum anecdotal evidence of a connection. It should be noted not all line graphs will have the same starting point on a linear graph representing a longitudinal study. The creation of a start point along the axis can demonstrate the continuation or inclusion of different data in time.The final benefit, as odd as it sounds, is the universal color reproduction of the line graph. Line graphs allow for many more ways to represent the data points. A bar graph can use color to differ between compared items, but colors do not always translate across different print mediums. However, line graphs can use color or different line styles such as dots or dashes. While it seems like a simple item, this advantage allows line graphs to better transfer to black/white paper print

# data[].attributes.headline
display relative proportions of multiple classes of data.

# data[].attributes.subject
display relative proportions of multiple classes of data.

# data[].attributes.body
to know the amount  of something via percentage.

# data[].attributes.headline
i can understand better when i use pie chart

# data[].attributes.subject
i can understand better when i use pie chart

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Line Graph. A line graph is commonly used to display change over time as a series of data points connected by straight line segments on two axes. The line graph therefore helps to determine the relationship between two sets of values, with one data set always being dependent on the other set.

By: Max Er

# data[].attributes.body
display relative proportions of multiple classes of data.

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https://www.google.com.sg/url?sa=i&source=images&cd=&cad=rja&uact=8&ved=2ahUKEwjN-P_4narcAhWMNo8KHd_JD2kQjRx6BAgBEAU&url=https%3A%2F%2Fjohnnysph.com%2Fworth-sharing%2Fpizza-pie-chart%2F&psig=AOvVaw0i6FCYnyPvY0l7NdoGBD8q&ust=1532057730835408

# data[].attributes.body
my friends are
vaishnavi
khalisah
christine
nadra
dhanya
guess who i am?

# data[].attributes.headline
Bar graphs are used to compare things between different groups or to track changes over time. However, when trying to measure change over time, bar graphs are best when the changes are larger.

# data[].attributes.subject
Bar graphs are used to compare things between different groups or to track changes over time. However, when trying to measure change over time, bar graphs are best when the changes are larger.

# data[].attributes.body
In the mathematical discipline of graph theory, the line graph of an undirected graph G is another graph L(G) that represents the adjacencies between edges of G. The name line graph comes from a paper by Harary & Norman (1960) although both Whitney (1932) and Krausz (1943) used the construction before this.[1] Other terms used for the line graph include the covering graph, the derivative, the edge-to-vertex dual, the conjugate, the representative graph, and the ϑ-obrazom,[1] as well as the edge graph, the interchange graph, the adjoint graph, and the derived graph.[2]

Hassler Whitney (1932) proved that with one exceptional case the structure of a connected graph G can be recovered completely from its line graph.[3] Many other properties of line graphs follow by translating the properties of the underlying graph from vertices into edges, and by Whitney's theorem the same translation can also be done in the other direction. Line graphs are claw-free, and the line graphs of bipartite graphs are perfect. Line graphs are characterized by nine forbidden subgraphs and can be recognized in linear time.

Various extensions of the concept of a line graph have been studied, including line graphs of line graphs, line graphs of multigraphs, line graphs of hypergraphs, and line graphs of weighted graphs.
_(:3」∠)__(:3」∠)__(:3」∠)_

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Line graphs are used to track changes over short and long periods of time. When smaller changes exist, line graphs are better to use than bar graphs. Line graphs can also be used to compare changes over the same period of time for more than one group

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Pie charts are best to use when you are trying to compare parts of a whole. They do not show changes over time.

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https://www.youtube.com/watch?v=ykwqXuMPsoc

# data[].attributes.body
https://www.youtube.com/watch?v=ykwqXuMPsoc