data analysis tools

A collection of stuff that I have written to make science easier.

Plotting

1. Matrix plot of correlation values colored by value
2. Add jitter to data set
3. Output RGB values to txt file for matplotlib color map (useful for MATLAB, etc.)
4. School Colors data storage class

Jupyter notebooks

Jupyter (python, R) notebooks in this data set can be viewed using these links:

1. Plotting two data sets in the same scatter matrix (python)
2. PDFs and CDFs (python)
3. fluid flow animation (python)
4. pcolormesh demo (python)
5. an incredibly simple multiprocessing demonstration (python)
6. Velociraptors (python)
7. Alluvial diagram generator (R)
8. Importing data from a Google Sheet (python)
9. Group by, Pivot table, apply (python)
10. Discrete colorbar demo for pcolormesh and scatterplots (python)
11. Rolling critical attacks in dungeons and dragons 3.5e
12. Rudimentary change point detection

Stats

1. Confidence Interval for Likert scale survey questions.
2. median absolute deviation

Other stuff

1. Performance timing in python (don't use this, %timeit exists)
2. find index of maximum value in array (although I think there is a better numpy way to do this)

SQL

1. Date Range
2. Convert epoch time to human readable datetime