Brute Force Plotter

[Work in progress] Tool to visualize data quickly with no brain usage for plot creation

Installation

will be packaged soon

Example

It was tested on python3 only

.. code:: bash

$ git clone https://github.com/eyadsibai/brute_force_plotter.git
$ cd brute_force_plotter
$ pip3 install -r requirements.txt
$ python3 brute_force_plotter.py example/titanic.csv example/titanic_dtypes.json example/output

• json.dump({k:v.name for k,v in df.dtypes.to_dict().items()},open('dtypes.json','w'))

• the first argument is the input file (csv file with data) example/titanic.csv <https://github.com/eyadsibai/brute_force_plotter/example/titanic.csv>_

• second argument is a json file with the data types of each columns (c for category, n for numeric, i for ignore) example/titanic_dtypes.json <https://github.com/eyadsibai/brute_force_plotter/example/titanic_dtypes.json>_ .. code:: json

  { "Survived": "c", "Pclass": "c", "Sex": "c", "Age": "n", "SibSp": "n", "Parch": "n", "Fare": "n", "Embarked": "c", "PassengerId": "i", "Ticket": "i", "Cabin": "i", "Name": "i" }

• third argument is the output directory

• c stands for category, i stands for ignore, n for numeric

.. image:: https://raw.githubusercontent.com/eyadsibai/brute_force_plotter/master/example/output/distributions/Age-dist-plot.png :alt: Age Distribution (Histogram with Kernel Density Estimation, Violin Plot) :width: 260 :height: 300 :align: center

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Pclass-Sex-heatmap.png :alt: Heatmap for Sex and Pclass :width: 260 :height: 300 :align: center

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Pclass-Survived-bar-plot.png :alt: Pclass vs Survived :width: 260 :height: 300 :align: center

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Survived-Age-plot.png :alt: Survived vs Age :width: 260 :height: 300 :align: center

.. image:: https://github.com/eyadsibai/brute_force_plotter/blob/master/example/output/2d_interactions/Age-Fare-scatter-plot.png :alt: Age vs Fare :width: 260 :height: 300 :align: center

TODO

• target variable support
• Clean up part of the code
• More documentation
• Tests?
• Support 3 variables (contour plots/ etc)
• Fallback for large datasets
• Figure out the data type or suggest some
• Map visualization (if geocoordinates)
• Minimize the number of plots
• Support for Time Series