Data Analysis

Draw meaningful conclusions from data whether you’re a business analysis, data engineer, or data scientist.

Create Cloud-hosted Charts with Plotly Chart Studio

Create Cloud-hosted Charts with Plotly Chart Studio

Use Pandas and Plotly to create cloud-hosted data visualizations on-demand in Python.

Todd Birchard
Todd Birchard
Plotly
4 Ways To Improve Your Plotly Graphs

4 Ways To Improve Your Plotly Graphs

Making high-quality data visualizations is a critical skill for Data Scientists. Learn how to get better at it using Plotly's Python library.

Dylan Castillo
Dylan Castillo
Data Analysis
Splitting Columns With Pandas

Splitting Columns With Pandas

Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.

Matthew Alhonte
Matthew Alhonte
Code Snippet Corner
Comparing Rows Between Two Pandas DataFrames

Comparing Rows Between Two Pandas DataFrames

Find data that is not common between two Pandas DataFrames; effectively the opposite of finding an intersection of data.

Todd Birchard
Todd Birchard
Pandas
Recasting Low-Cardinality Columns as Categoricals

Recasting Low-Cardinality Columns as Categoricals

Downcast strings in Pandas to their proper data-types using HDF5.

Matthew Alhonte
Matthew Alhonte
Code Snippet Corner
Removing Duplicate Columns in Pandas

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.

Matthew Alhonte
Matthew Alhonte
Code Snippet Corner
Using Hierarchical Indexes With Pandas

Using Hierarchical Indexes With Pandas

Use Panda's multi-index to create smarter datasets. Speed up your workflow by easily selecting and aggregating related data.

Todd Birchard
Todd Birchard
Pandas
Reshaping Pandas DataFrames

Reshaping Pandas DataFrames

A guide to DataFrame manipulation using groupby, melt, pivot tables, pivot, transpose, and stack.

Todd Birchard
Todd Birchard
Pandas