Descriptive Statistics

Seeing is believing. In addition to running the numeric summaries of your data, you also need to be able to see the distribution of your data so you have a better feel for the information in your data set.

Visualizing Data

25 Tips to Instantly Improve Your Data Visualization DesignTry our best data visualization design tips to make your data more attention-grabbing, more engaging, and more memorable.

CrashCourse: Charts Are Like Pasta - Data Visualization (10:21)

This Crash Course begins to discuss data visualization and how it is much more useful to represent this information with charts and graphs. There are two types of data people typically encounter, categorical and quantitative data, and they likewise require different types of visualizations. This video focuses on bar charts, pie charts, pictographs, and histograms and show you what they can and cannot tell us about their underlying data as well as some of the ways they can be misused to misinform.

This Crash Course will introduce the normal (or bell) curve and talk about how we can learn some really useful things from a sample's shape - like if an exam was particularly difficult, how often old faithful erupts, or if there are two types of runners that participate in marathons. This is not technically a video data visualization, but it does show the importance of visualizing and getting to know your data.

CrashCourse: The Shape of Data: Distributions (11:22)

365 Data Science: Which is the best chart: Selecting among 14 types of charts Part I (12:07)

365 Data Science: Which is the best chart: Selecting among 14 types of charts Part II (8:09)

Kristen Sosulski: Categorical data graphics: Design principles (3:01)

Kristen Sosulski: Five ways to improve line charts a(1:59)

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