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.

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.

Splitting Columns With Pandas

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Splitting Columns With Pandas

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

Comparing Rows Between Two Pandas DataFrames

Comparing Rows Between Two Pandas DataFrames

Compare similar datasets to identify rows which

Recasting Low-Cardinality Columns as Categoricals

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Recasting Low-Cardinality Columns as Categoricals

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

Removing Duplicate Columns in Pandas

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Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.

Using Hierarchical Indexes With Pandas

Using Hierarchical Indexes With Pandas

Use Panda's Multiindex to make your data work harder for you.

Reshaping Pandas DataFrames

Reshaping Pandas DataFrames

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