Tri-Python Exploring Data
These are my quick notes from the April 16th TriPython meetup.
Francios Dion’s talk was like drinking from a fire hose of cool data things to explore. Each of these could warrant a whole hour long presentation by themselves.
Exploratory Visualization of Data and Text with Francios dimension
Chief Data Scientist at Dion Research
Introduction
Stemgraphic - a stem and leaf plot Visualization, does processing and categorization of Text
InterpreStem - Natural Language Stemming
cinimatic records plots overtime with an animation
kinematic - also a command line tool
cufflinks - wrapper for plotly
Visualization analysis and design by Tamera Munsner
Missing Data
missingno - a library to see missing data. Plots the completeness of the data, showing holes.
Stemgraphics - stem and leaf plots to quickly see categorization
wordcloud package
- able to use a jpg as a mask
Visidata
Mis-Typed Data
Numbers formated as strings strings that should be NaN
Weather Data
Noaa weather for airports
cufflinks - iplots kind = ‘spread’