Eliminate Clutter in Visualizations
It is advised to eliminate any clutter in your data visualizations. This makes sense. Clutter distracts from the […]
clean
Cleaning Mixed Data Types
Exploratory Data Analysis (EDA) has six main practices. The six main practices of EDA are discovering, structuring, cleaning, […]
Data Imputation of Age
Exploratory Data Analysis (EDA) has six main practices. The six main practices of EDA are discovering, structuring, cleaning, […]
Clean Phone Numbers in Pandas
Do you have a pandas DataFrame that has a column of phone numbers that need to be cleaned? […]
Remove Bad Characters in Pandas
If you are working with a pandas DataFrame and you need to remove some faulty characters that should […]
Data Structuring & Cleaning with Mike
What are the steps to cleaning your data in a data analysis project? This article combines a few […]
Data Imputation of Negative Numbers
Exploratory Data Analysis (EDA) has six main practices. The six main practices of EDA are discovering, structuring, cleaning, […]
Replace Values in Pandas
Are you working with a DataFrame in pandas? Do you need to change or update some values in […]
Cleaning Categories in pandas
You have a dataset in pandas represented as a DataFrame. One of the columns has categories in it. […]
Loop Through pandas DataFrame
How would we iterate (loop) through the rows of a pandas DataFrame? What’s the context? Why would we […]
Cleaning Data with Strip in pandas
If we have a DataFrame that has a column of data the looks messy, strip() might work for […]
EDA Cleaning with Pandas
Exploratory Data Analysis (EDA) has six main practices. The six main practices of EDA are discovering, structuring, cleaning, […]