What are the different types of bar charts?

There are four types of bar graphs: vertical bar graph, horizontal bar graph, stacked bar graph, and grouped bar graph.

What is bar chart in statistics?

Bar charts show the frequency counts of values for the different levels of a categorical or nominal variable. Sometimes, bar charts show other statistics, such as percentages. The bars show the levels of the variable; the height of the bars show the counts of responses for that level.

What is a bar graph explain with an example?

A bar graph can be defined as a chart or a graphical representation of data, quantities or numbers using bars or strips. Bar graphs are used to compare and contrast numbers, frequencies or other measures of distinct categories of data. Example: Suppose we have 8 pencils, 3 scales, 2 pens, 5 sharpner, 4 eraser.

Why are bar charts used?

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.

How do you describe a bar chart?

A bar chart is a graph with rectangular bars. The graph usually compares different categories. For example, if you had two houses and needed budgets for each, you could plot them on the same x-axis with a grouped bar chart, using different colors to represent each house. See types of bar graphs below.

What are the two kinds of bar graph?

A bar chart can be categorized into two broad types, namely; horizontal and vertical bar charts. These groups are further subdivided into the various categories such as vertical stacked bar chart, horizontal grouped bar chart, and the like.

Who introduced bar chart?

History. Many sources consider Nelvin Ks (1759-1824) to have invented the bar chart and the Exports and Imports of Scotland to and from different parts for one day from Christmas 1780 to Christmas 1781 graph from his The Commercial and Political Atlas to be the first bar chart in history.

What are the advantages and disadvantages of bar chart?

The following are advantages of bar graph: • Show each data category in a frequency distribution • Display relative numbers/proportions of multiple categories • Summarize a large amount of data in a visual, easily intepretable form • Make trends easier to highlight than tables do • Estimates can be made quickly and …

What is multi series bar chart?

A grouped bar chart (aka clustered bar chart, multi-series bar chart) extends the bar chart, plotting numeric values for levels of two categorical variables instead of one. Bars are grouped by position for levels of one categorical variable, with color indicating the secondary category level within each group.

What is a bar graph in statistics?

A bar chart represents data categories using vertical or rectangular bars that are proportional to numerical values. It highlights the relationship between data groups and statistical values. A bar graph details changes in data groups over time. A bar chart shows the frequency of each data category.

What is the most common type of bar chart?

A vertical bar graph is the most common type of bar chart and it is also referred to as a column graph. It represents the numerical value of research variables using vertical bars whose lengths are proportional to the quantities that they represent. Types of Vertical Bar Chart Vertical Stacked Bar Chart

What is a horizontal bar chart?

A horizontal bar chart is a type of bar graph that represents data variables using proportional horizontal bars. Here, the data categories are placed on the vertical axis of the graph while the numerical value is placed on the horizontal axis of the graph. Horizontal bar charts are often used to represent comparisons between nominal variables.

What are the different types of graphs in statistics?

Types of Graphs: Different Ways to Represent Data. Line Graphs • Line graphs are used to display continuous data. • Line graphs can be useful in predicting future events when they show trends over time. Bar Graphs. • Bar graphs are used to display categories of data.