About DataMex

DataMex is a personal proyect under the Creative Commons Attribution 4.0 International License. The goal is to analyze some of the available datasets on several aspects of mexican public life.

Local install instructions

The notebooks use Python 3 and some data analysis packages such as Numpy, Pandas, scikit-learn, and matplotlib.

Install Miniconda

This step is only necessary if you don't have conda installed already:

• download the Miniconda installer for your operating system (Windows, MacOSX or Linux) here
• run the installer following the instructions here depending on your operating system.

Create conda environment

# Clone this repo
git clone https://github.com/ArturoAmorQ/DataMex
cd DataMex
# Create a conda environment with the required packages for this tutorial:
conda env create -f environment.yml

Check your install

To make sure you have all the necessary packages installed, we strongly recommend you to execute the check_env.py script located at the root of this repository:

# Activate your conda environment
conda activate DataMex
python check_env.py

Make sure that there is no FAIL in the output when running the check_env.py script, i.e. that its output looks similar to this:

Using python in /home/lesteve/miniconda3/envs/scikit-learn-course
3.9.1 | packaged by conda-forge | (default, Jan 10 2021, 02:55:42)
[GCC 9.3.0]

[ OK ] numpy version 1.19.5
[ OK ] scipy version 1.6.0
[ OK ] matplotlib version 3.3.3
[ OK ] sklearn version 0.24.0
[ OK ] pandas version 1.2.0
[ OK ] seaborn version 0.11.1
[ OK ] notebook version 6.2.0
[ OK ] plotly version 4.14.3

Run Jupyter notebooks locally

# Activate your conda environment
conda activate DataMex