Do you have large data sets and want to pull valuable insights from them? Do you want to identify trends and patterns in your data sets? If you answered yes to these questions, you need to visualize your data using charts and graphs. When it comes to visualizing non-time-series data, the two most common data visualizations are bar graphs and pie charts. While both chart types have some common use cases, they differ from each other in many ways. However, many people are unsure about the difference between bar graph vs pie chart and when to use them.
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A bar graph or chart refers to a chart that plots data, quantities, or numeric values using bars. These are the best graph for categorical data and consist of two axes. One axis consists of bars representing different categories, while the other axis represents discrete values. The number of bars on a bar graph depends on the number of data categories. For example, if there are seven categories, the bar graph will have seven bars. The length of the bars demonstrates the numeric values of the category. Bar graphs are usually used to compare different variables or show changes in data over time.
If you’re looking for a tool to create bar graphs for your web apps, FusionCharts is the best choice. FusionCharts is a leading JavaScript charting library that allows you to create more than 100 different types of charts and graphs. It also comes with more than 2,000 choropleth maps (covering countries and cities).
Below is a bar chart created using FusionCharts. The graph depicts different countries with the most oil reserves. The bars on the horizontal axis represent different countries, and their lengths correspond to the amount of oil reserves.
The two most common types of bar graphs are vertical bar graphs and horizontal bar graphs. A vertical bar graph consists of bars along the x-axis, whereas in a horizontal bar graph, the y-axis consists of horizontal bars.
Two other types of bar charts are grouped bar charts and stacked bar charts. Grouped bar graphs consist of different sets of data categories, where each category has multiple items. In stacked bar graphs, each bar is divided into different parts to compare parts of a whole.
A pie chart consists of a circular graph divided into different pieces/slices, where each slice represents a category. The size of each slice demonstrates the proportion of the whole each category signifies. These charts essentially depict how a total amount is divided between different variables or categories. Pie charts are a great choice when you want to plot data to show the graph with percentages of a whole.
When creating a pie chart, it’s essential to consider the order of the slices to ensure viewers can understand it quickly. It’s best to arrange slices from largest to smallest. However, if the variables have a specific ordering, you should follow that.
FusionCharts allows you to create interactive pie charts with captions, sub captions, data labels, legends, and more. It also lets you create pie charts using data contained in a database, such as MySQL.
Below is a simple 2D pie chart created using FusionCharts. The chart shows how much market share different web servers have. We can easily interpret that Apache holds a little less than half of the web servers’ market share.
The comparison table below shows bar graph vs pie chart differences
Bar Graph | Pie Chart |
Consists of rectangular bars representing different categories of a data set | Circular – Consists of slices representing different categories of a data set |
Plots Absolute values | Plots relative values/frequencies of the measurements |
Great for representing a data set with several categories | Becomes messy when there are more than six categories |
Used for comparing categories to each other | Used for comparing the contribution of each category to the whole |
Can represent multiple data sets | A single pie chart can only represent a single data set |
Can be used to plot time series data | Aren’t effective in representing time series data |
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