Quantitative Biological Research with Python - Lesson 8, TA 1/3 - Visualization

Part 1/3 of Nadav's TA lecture on the 8th week of the course, given on 2019-12-18.

Topics covered in this part:
1. Motivation to programmatic visualization [0:00]
2. Matplotlib: pros & cons [2:03]
3. Other Python visualization libraries (Seaborn & Bokeh) [6:01]
4. Concepts and considerations for visualization [8:06]
4.1. The importance of understanding the variables before plotting [8:35]
4.2. Overview of various chart types [10:20]
4.2.1. Scatter plot [10:38]
4.2.1. Line chart [12:43]
4.2.3. Bar chart [13:51]
4.2.4. Histogram [15:28]
4.2.5. Density plot [17:29]
4.2.6. Cumulative Distribution Function (CDF) [19:52]
4.2.7. Pie chart [21:44]
4.2.8. Box plot [22:40]
4.2.9. Heat map [25:36]
4.2.10. More types (Area chart, Radar chart, Polat chart, Violin plot, Scatter + histogram) [28:07]
4.3. Caveats [30:16]
5. Using Matplotlib [34:04]
5.1. Basic usage & Jupyter notebook integration [34:09]
5.2. Understanding figures & axes [37:38]