Data Exploration with Python, Part 3
Embarking on an Insight-Finding Mission
This is the third post in our Data Exploration with Python series. Before reading this post, make sure to check out Part 1 and Part 2!
Preparing yourself and your data like we have done thus far in this series is essential to analyzing your data well. However, the most exciting part of Exploratory Data Analysis (EDA) is actually . . .
Posted in: exploratory analysispythonvisualization
Data Exploration with Python, Part 2
Preparing Your Data to be Explored
This is the second post in our Data Exploration with Python series. Before reading this post, make sure to check out Data Exploration with Python, Part 1!
Mise en place (noun): In a professional kitchen, the disciplined organization and preparation of equipment and food before service begins.
When performing . . .
Data Exploration with Python, Part 1
Preparing Yourself to Become a Great Explorer
Exploratory data analysis (EDA) is an important pillar of data science, a critical step required to complete every project regardless of the domain or the type of data you are working with. It is exploratory analysis that gives us a sense of what additional work should be performed to quantify and extract insights from our data. It also . . .
