Air pressure analysis in python

Air Pressure Variance In Cities

# Introduction

This analysis helps in comparing cities on air pressure variations.
I calculate the mean variation in air-pressure for a given city using the wunderground data.

# Overall yearly variance output:

- BOS 0.08
- JFK 0.24
- SFO 0.13
- DTW 0.24
- SJU 0.09

# Monthly variation for cities for 2017

**city**|**1**|**2**|**3**|**4**|**5**|**6**
:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:
BOS|0.09|0.08|0.09|0.09|0.07|0.07
DTW|0.27|0.31|0.25|0.26|0.18|0.13
JFK|0.26|0.29|0.29|0.22|0.2|0.14
SFO|0.18|0.18|0.12|0.12|0.1|0.07
SJU|0.1|0.1|0.09|0.09|0.09|0.08

# Conclusion
It seems New York and Michigan are not so good places to live for a person who has air pressure related headaches or migraines.

# Notes

- Used http://jakebathman.github.io/Markdown-Table-Generator/ for converting csv to markdown tables.
- http://dillinger.io to preview markdown

yearly_mean_variance.ipynb