References

For additional reading, check out the following books and articles:

1. Powerful EDA (Exploratory Data Analysis) in just two lines of code using Sweetviz (https://towardsdatascience.com/powerful-eda-exploratory-data-analysis-in-just-two-lines-of-code-using-sweetviz-6c943d32f34)
2. Lux: A Python API for Intelligent Visual Data Discovery (https://www.youtube.com/watch?v=YANIids_Nkk)
3. pandas Profiling of the Titanic Dataset (https://pandas-profiling.github.io/pandas-profiling/examples/master/titanic/titanic_report.html)
4. pandasGUI Demo (https://www.youtube.com/watch?v=NKXdolMxW2Y)
5. A Comprehensive Guide to the Grammar of Graphics for Effective Visualization of Multi-dimensional Data (https://towardsdatascience.com/a-comprehensive-guide-to-the-grammar-of-graphics-for-effective-visualization-of-multi-dimensional-1f92b4ed4149)
6. The Complete ggplot2 Tutorial (http://r-statistics.co/Complete-Ggplot2-Tutorial-Part1-With-R-Code.html)
7. Everything you need to know...