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Data Analytics · Module 5 of 10

Exploratory data analysis

Explore data to understand it before drawing conclusions.

📖 Key ideas

  1. Check size, columns, types and missing values.
  2. Summary statistics: mean, median, min, max.
  3. Look at distributions with histograms.
  4. Spot outliers with box plots.
  5. Explore relationships with scatter plots and cross-tabs.
💡 Real-life example: EDA is walking around a new house before deciding where to put the furniture.
EDAExploratory Data Analysis
DistributionHow values are spread
Cross-tabTable of counts across two categories
Data profileOverview of a dataset