Data Visualization in Python

Data visualization and exploration is one of the first steps in machine learning after the data is gathered and statistically summarized. It is used to graphically represent data to qualitatively understand relationships and data quality. Visualization is the graphical representation of data while exploration is gaining an understanding of the data to make better informed decisions about how it can be applied. Visualization and exploration gives an understanding of data diversity, relationships, missing data, bad data, or other factors that may influence decisions to exclude or include an appropriate subset for training. Explore data visualization with Python with matplotlib, pandas, seaborn, and plotly. 0:00 Zettabyte Data Era 0:44 Visualize Data 1:22 Careers in Data Science 2:27 Introduction to Data Visualization 3:08 Machine Learning Course 3:48 Install Packages 5:20 Load Data and Summary Statistics 7:04 Plot Data with Pandas 10:07 Pandas Profiling 13:25 Matplotlib 14:26 Plotly Express 15:31 Seaborn 18:04 PVWatts Case Study 30:45 Summary Course Website: https://apmonitor.com/pds Data Visualization: https://apmonitor.com/pds/index.php/M...