It is important to have a clear understanding of the goal of your research. This will determine what sort of data is needed, the type of analysis necessary, and the types of visualizations that would be most effective to communicate your explorations or findings.
The Library provides:
This is an essential step to perform before creating a visualization. Clean, consistent data will be much easier to visualize.
Clean data is data that is free of errors or anomalies which may make it hard to use or analyze the data. Starting from a clean dataset allows you to focus on creating an effective visualization rather than trying to diagnose and and fix issues while creating visualizations.
Data cleaning tasks will be very dependent on the dataset that you’re working with. In most cases, data cleaning involves:
For more information and best practices for data cleaning visit Clean and Prepare Your Data.
It is important to pick a chart or graph which will best communicate the message you wish to tell your audience. The first step to choosing a chart is to determine what message you’re trying to deliver. Are you:
Picking one of these can help you to select the chart that will work best for you. There are a number of resources you can use to pick the right chart:
There are many tools to choose from ranging from freely available open web based tools to licensed desktop tools.
The data preparation steps you’ll need to go through are determined by the type of chart or visualization you’d like to create and the tool which you have chosen. Once you’ve selected your chart you may need to perform transformations to create the required data.
Typical data preparation tasks include:
Following the procedures specific to your tool, the general process for creating charts includes:
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