Hello there, today I’ll show a simple data exploration using python with Pandas and some libraries to plot the data

so, requirements:

1. Python (obviously)
2. Jupyter Notebook
3. (Pandas library, matploblib and seaborn)

Download and import into your Jupiter Notebook this *zip below:

click do download

Inside the zip we have 2 archives: pokemon.csv and pokemon.ipynb

You have to import the pokemon.ipynb and pokemon.csv inside your Jupyter Notebook

So you can perceive that we’ll use a simple dataset of Pokemons for a more friendly explanation

Reading the dataset

So, everything working, (apparently) ahahaha

Plotting the first graphic

Lets explore the data, above we saw a plot showing the second type of the Pokemon’s (some pokemons

can be of 2 distinct types) and below we see the a plot that show the obligatory type of Pokemon’s (Type 1)

all Pokemon’s need this information.

In the type 2 we have more Flying Pokemon’s that Water Kind

The strongest and the weakest Pokemon

We can filter using the column attack to sorting and show the strongest and weakest Pokemon’s

Correlations and linear regression

We can plot also a correlation map and linear regression of our Pokemon’s, let’s check

the example and try.

Boxplot graphic

So we can see the medium, quartiles and the outliers of the dataset (look to the HP ahahaha)

Actually, the objective of this post is only to try yourself to figure out some kinds of simples plot, practice and learn more.

have fun 🙂

That’s all.