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Python — Analyze My Medium Earnings
Passive Income through the Python Data Science December
Yesterday’s story marked the halftime of our Python Data Science December. Today it's time to wrap things up & analyze what happened so far. Welcome to Python Data Science December #13.
We will make use of Python Pandas & Matplotlib to answer the following questions
- How much time did I spend implementing & writing the Stories so far?
- How many story views do I have?
- What have I earned so far? Was it worth it? 😅
All resources, datasets, required Python libraries & installations are listed at the end of the story, in the chapter Summary & Resources.
📅 The Data
Today we’ll be using Jupyter notebook to understand & explore the underlying data. To get a first impression of the data, let’s install & import Pandas and read the file into a pandas DataFrame.
As this is an Excel file (.xslx) you might need to install xlrd (pip install xlrd) first to make the below code work.
import pandas as pd
df = pd.read_excel('IntermediateAnalytics.xlsx')First, let us understand how many rows & columns we have…
