Skip to content

Data Exploration and Visualization

  1. Loading and examining datasets with pandas
  2. Creating basic plots with matplotlib
  3. MicroSim: Interactive data visualization
  4. Identifying patterns in data through visual exploration
  5. Data profiling and quality assessment
  6. Handling missing values and outliers
  7. Exploratory data analysis techniques