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grouped-bar-chart

A grouped bar chart, also known as a clustered bar chart, is a powerful visualization tool used to compare multiple categories across different groups. In this type of chart, bars representing subcategories are placed side by side for each main category, allowing for easy visual comparison of their values. Grouped bar charts are particularly effective for displaying relationships between a main category and its subcategories, making them ideal for analyzing data trends over time or across different conditions. They provide a clear representation of proportions and compositions, facilitating insightful data analysis and storytelling.

Clustered & Overlapped Bar Charts with Plotly Express

 Towards Data Science

Clustered (Grouped) Bar Charts display numerical information about the relative proportion that exists between a main category and its subgroups (subcategories) that belong to a second categorical…

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Clustered & Overlapped Bar Charts

 Towards Data Science

Why: Clustered Bar Charts (CBC) display numerical information about the relative proportion that exists between a main category and its subgroups that belongs to a second categorical variable…

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Create a grouped bar chart with Matplotlib and pandas

 Analytics Vidhya

As I was working on freeCodeCamp’s Data Analysis with Python certification, I came across a tricky Matplotlib visualization: a grouped bar chart. I’ve been making my way through the projects, but the…...

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How to Create a Grouped Bar Chart With Plotly Express in Python

 Towards Data Science

When you create a grouped bar chart, you need to use plotly.graph_objects. In this article, you will learn how to create a grouped bar chart by using Plotly.express. Plotly Express is a high-level…

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Bringing order into bar chart chaos

 Towards Data Science

Bringing Order into Bar Chart Chaos Ordering the bars in a single and faceted ggplot2 bar chart Image by Author We all like order (or at least most of us). It helps us organize our thoughts and gives...

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Easy grouped bar charts in Python

 Towards Data Science

A plot that I often want to create, but fail to remember how to, is a bar chart where there are two or more bars per entry or row from a DataFrame. The purpose of this is to compare two different…

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Bar Chart Race to Predict GDP Per Capita

 Becoming Human: Artificial Intelligence Magazine

To visualize the features of different categories we use bar charts which are a very simple way of presenting the features. But when we are having a lot of features in one category only then a bar…

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Make a Nested Bar Chart with Seaborn

 Towards Data Science

A nested bar chart is a visualization method that compares multiple measurements within categories. One of these measurements represents a secondary or background measure, such as a target or previous...

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Bored of using Bar charts?

 Towards Data Science

Bar charts are one of the most used chart forms I use when presenting data insights at work. But I often feel like it gets a bit monotonous and repetitive especially when you need to present a lot of…...

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Different Bar Charts in Python

 Towards Data Science

Bar charts are used to measure items across classes or to monitor changes over time. These are the one of the oldest charts that represents the data visualization through the “bars. These are one of…

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Grouped Barplot With Error Bars in R

 Towards Data Science

A comprehensive guide to data preparation and visualization Photo by Paulius Dragunas on Unsplash Barplots are an essential and widely used visualization tool for several reasons. They are excellent ...

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When Is It Wrong to Use Bar Charts?

 Towards Data Science

…and possible ways to fix it Image generated by Canva text to image tool Don’t get me wrong, bar charts can be a great tool for data visualization, especially when used for displaying counts or propo...

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