Data Analysis & Visualization
Turning Numbers into Visualizations
Collecting data is only the first step, understanding it is the next. This section covers exploratory data analysis, how to spot patterns and anomalies, and how to communicate findings through charts and dashboards. The goal is not just to see the data, but to make others see it too.
Exploratory Data Analysis (EDA)
intermediatePoking, prodding, and visualizing your data until it tells you its secrets.
Summary Statistics
beginnerOne‑number summaries that tell you the shape and feel of your data.
Data Distributions
beginnerThe shape of your data – normal, skewed, uniform, bimodal – and why it matters.
Correlation vs Causation
intermediateTwo things moving together doesn't mean one caused the other. Here's what does.
Scatter Plots and Patterns
beginnerTwo variables, one plot. You'll see clusters, lines, curves, and weirdos.
Bar Charts vs Histograms
beginnerOne for categories, one for numbers. They look similar but are not the same.
Box Plots and Outliers
intermediateFive numbers that summarize a distribution, plus a spotlight on outliers.
Dashboards and Storytelling
intermediateTurning charts into decisions. Don't just show data – tell a story.