Python Data Visualization Transcripts
Chapter: Visualization Concepts
Lecture: Analysis types
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I want to talk a little bit about the types of analysis that I typically do
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when I'm doing data visualization. The first type when I have a new data set
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is to do exploratory analysis. An exploratory analysis is characterized by the process of getting
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familiar with the data where the focus is on speed and doing multiple visualization types.
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I do this to find interesting nuggets and then dive deeper into the data. This is also typically something that I do as an individual.
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Once I have found the information that I want to convey to someone, I'll start to do more explanatory analysis.
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And what I mean by that is that this is focusing on communicating findings to an audience. The focus here is not on speed,
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it's on clearly conveying the message to that audience.
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I will spend time crafting the visualization and turning it into a standard report and frequently
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what I find is one tool might be good for exploratory analysis but a different tool
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Once I understand what I'm trying to say is a good tool for explanatory analysis
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and this is a good distinction for you to keep in mind as you start to use some of the tools we are gonna talk about.