Basic Statistics and Data Visualization

Doing exploratory, diagnostic and descriptive statistics is the first and very crucial part of any data analytics project.

Here are some more details on each of the steps involved in Exploratory Data Analysis ( EDA)

Let’s now look at examples on how to accomplish these tasks in Python.

EDA1EDA2EDA3EDA4EDA5EDA6EDA7EDA8EDA9EDA10

EDA11EDA12EDA13EDA14EDA15EDA16EDA17EDA18EDA19EDA20EDA21EDA22EDA23EDA24EDA25EDA26EDA27EDA28

Cheers!

 

Install and check Python Packages

Here are some examples on how you can check that necessary packages are installed in the python environment and check their version before moving forward. These are some of the must have packages. If any of the packages are not installed, you can do the anaconda install using conda prompt.  Further directions are shown in the link 

You can search for any package in anaconda environment by using the following code-

anaconda search -t conda seaborn

Python_version

Cheers!