In this third lecture, we will look at how to extract basic information (descriptive statistics) from text and how to create graphical descriptions of the extracted data. Using MatPlotLib and Seaborn Python libraries, we will learn to create the following items:
- Descriptive statistics
- Univariate analysis: central tendency, dispersion, shape of distribution
- Bivariate analysis: contingency tables, scatterplots, correlation, covariance
- Data visualisation
- Line plots, box plots, bar plots, histograms, scatter plots
