 Hemant Singh

# Comparing Visualization Types for Your Data

• Sep 4, 2018
• 2,790 Views
• Sep 4, 2018
• 2,790 Views
Data

## Plot Data Over a Continuous Interval ## Line Graph

• Use: Analyse how the data has changed over time
• Y axis datatype: Quantitative value
• X axis datatype: Timescale, continuous interval, series of intervals
• Purpose: Patterns in graph helps in predicting trends Edit on Codepen!

## Histogram

• Use: Visualize distribution of data over intervals
• Y axis datatype: Frequency of quantitative value per individual interval
• X axis datatype : Timescale, series of intervals
• Purpose:
• Find the distribution pattern
• Identify unusual values
• Find gaps in value ranges Edit on Codepen!

## Bar Chart/Column Graph

• Use: Compare variable across categories
• The columns/bars can be vertical or horizontal
• Y axis datatype: Discrete value scale
• X axis datatype: Comparison of categories
• Purpose
• Answer the questions like "How many in a category/bucket?"
• Compare categories Edit on Codepen!

## Bubble Chart

• Use: Compare multiple variables across categories
• Points are plotted on a Cartesian coordinate system
• Each point represents a category or a label and are generally distringuished by colors
• Area (not the radius) of the circle represents third variable
• Y axis datatype: One variable
• X axis datatype: Second Variable
• Radius of bubble: Third variable
• Purpose
• Comparison of three or four variables (color can also be used to denote a variable like category )
• Find patterns and correlations
• Get an overview of multi variable data Edit on Codepen!

## Multi-set Bar Chart

• Use: Plot more than one data series and group them together under categories
• The bars are plotted similar to a bar chart
• Colors of the bars denote different data set
• Y axis datatype: Discrete value scale
• X axis datatype: Categories
• Purpose
• Comparison of grouped variables across categories Edit on Codepen!

## Stacked Area Chart

• Use: Plot more than one data series
• The point of one data series becomes the starting point for another series, so they stack up
• It does not work on negative values
• Y axis datatype: Value scale
• X axis datatype: Intervals for data series
• Purpose
• Compare multiple variables changing over an interval
• Compare the changes of different variables at different point
• Find relations / patterns between variables Edit on Codepen! Edit on Codepen!