Follow this 10-Step Template for an Awesome Data Analysis!

Steps for Data Analysis in Python

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Analyzing data is like discovering gold in a vast mine of information. As data continues to accumulate, efficiently managing and analyzing it can feel like a daunting task. Fortunately, there’s a more straightforward and efficient approach to data analysis.

This 10-step method not only minimizes mistakes and inconsistencies but also guarantees higher accuracy and efficiency in reaching your objectives. Whether you’re an experienced data analyst or just starting your journey, this method provides a clear path to do an effective data analysis.

Let’s delve into it and enhance your data analysis skills!

The Dataset!

We will be doing the analysis on the Titanic dataset, where we will try to understand what factors led to the survival or death of passengers.

import pandas as pd
titanic_df = pd.read_csv('titanic.csv')
titanic_df.head()

Looking at the top 5 rows we can get an overview of the data present in the columns.

Now, let’s start with the 10-step template for the data analysis:

STEP 1: Summary