**Answer:**

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As the different kinds of graphs aim to represent data, they are used in many areas such as: in statistics, in data science, in math, in economics, in business and etc.

1. Line Graphs

A line chart graphically displays data that changes continuously over time. Each line graph consists of points that connect data to show a trend (continuous change). Line graphs have an x-axis and a y-axis. In the most cases, time is distributed on the horizontal axis.

Uses of line graphs:

When you want to show trends. For example, how house prices have increased over time.

When you want to make predictions based on a data history over time.

When comparing two or more different variables, situations, and information over a given period of time.

2. Bar Charts

Bar charts represent categorical data with rectangular bars (to understand what is categorical data see categorical data examples). Bar graphs are among the most popular types of graphs and charts in economics, statistics, marketing, and visualization in digital customer experience. They are commonly used to compare several categories of data.

Bar Charts Uses:

When you want to display data that are grouped into nominal or ordinal categories (see nominal vs ordinal data).

To compare data among different categories.

Bar charts can also show large data changes over time.

Bar charts are ideal for visualizing the distribution of data when we have more than three categories.

3. Pie Charts

When it comes to statistical types of graphs and charts, the pie chart (or the circle chart) has a crucial place and meaning. It displays data and statistics in an easy-to-understand ‘pie-slice’ format and illustrates numerical proportion

.Pie Chart Uses:

When you want to create and represent the composition of something.

It is very useful for displaying nominal or ordinal categories of data.

To show percentage or proportional data.

When comparing areas of growth within a business such as profit.

Pie charts work best for displaying data for 3 to 7 categories.

Hoped this helped you!