Business Understanding is an essential matter and primary stage in data science lifecycle so that, all next stages form based on our Business understanding.
In shadow of technological development that world is witnessing, our business requires an innovate solutions.
Sometimes traditional formulas do not give us an accurate solution for current our issues and as simply that returns to timing of formulas created and nature of issues in that time.
let’s take a look for a real example I faced in my first contract.
In summer, Temperature degrees were raising in medical laboratories and that impacts on devices performance and…
It’s an amazing way to see all data features in one graph. It gives us a clear picture about feature values. In this article, I’m going showing you an easy and a wonderful way to visualize data features whether categorical or numerical.
I will use Titanic dataset as an example to explore that.
First of all, we import essential libraries numpy, pandas, matplotlib and seaborn.
import numpy as np
import pandas as pdimport matplotlib.pyplot as plt
import seaborn as sns
Then, reading data
df = pd.read_csv(‘train.csv’)
After that, take look for heading and show the shape of data.
A self Learner interested for AI & Python, love reading, write his thoughts to his own way and like presenting knowledge to world in picture which he like.