Name | Size | Last Modified |
|---|---|---|
| Numpy.ipynb | 504.4 KB | |
| 1.Introduction-to-Matplotlib-and-Line-Plots.jupyterlite.ipynb | 701.3 KB | |
| 2.Area-Plots-Histograms-and-Bar-Charts in Python using Matplotlib.ipynb | 1.1 MB | |
| 3.Data Visualization using Plotty.ipynb | 821.7 KB | |
| 4.1 Advanced Charts Pie-Charts-Box-Plots-Scatter-Plots-and-Bubble-Plots.ipynb | 704.4 KB | |
| 4.2 Advanced Viz Using matplotlib and Seaborne Waffle Chart and Regression Plots.ipynb | 555.4 KB | |
| Case Study Exploratory Data Analysis.ipynb | 11.7 MB | |
| Numpy Questions.ipynb | 6.4 KB | |
| Pandas.ipynb | 362.6 KB | |
| Python Datatypes and Basic Charts .ipynb | 12.6 KB | |
| Sales Performance Analysis.ipynb | 150.7 KB | |
| canadian_im.csv | 34.6 KB | |
| dummy | 1 bytes | |
| sales_data.xlsx | 22.8 KB | |
| technology_trends.csv | 319.1 KB | |
| titanic.csv | 61.1 KB |
