Python Seaborn Data Visualization Tutorial for Beginners | Bar Chart

Seaborn is a data visualization library for enhanced graphics for better data visualization and in this python seaborn data visualization tutorial I'll show you how you can create Bar Chart for summarizing data over dimensions.

Topics covered in this video

1. How to plot bar chart data using catplot
2. How to take an impact of another categorical dimension
3. How to create multiple chart by looping over dimension values

Earlier Python Seaborn tutorials

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[juandiegoariascordova]

Thank you for the amazin video, two questions, 1) how to create a stack bar chart 2) how to add data labels

[vaibhavjain]

HI Abhishek,
I really liked your videos. Could you please create a video on how to create a stacked bar chart with the 'sales' dataset

[rameshsiddharthareddy]

This session was very useful, I have one challenge, I am planning to implement tool that should give you the stats like bar, pie, doughnut, and provide max, min, average, amount stats generic way when you pass csv or xlsx file. Is it possible to compare any report in generic way, please suggest.

[suranjanabakshi]

Please describe how to calculate error bar

[niteshprajapat]

Hello Sir I have single query, as I noticed everytime, you used sns.relplot and sns..catplot, through 2 these, we can create other plots like barplot, boxplot, line plot etc...
we don't need to use sns.boxplot instead of sns.catplot. You you explain me properly, how can you create different plots just using single method like sns.catplot or sns.relplot ?

[ASNPersonal]

Have a question: I used "iris" dataset to practice and the last option in video Horizontal chart. Its not coming, generating as vertical chart.


Below is the code:
df = sns.load_dataset("iris")


df1 = df.head(50) # Dataset have total rows of 150. So limited to first 50 rows
sns.catplot(x='sepal_length', y='sepal_width', data=df1, kind='bar')


sns.catplot(y='sepal_length', x='sepal_width', data=df1, kind='bar')

[ayushSingh-ormd]

Sir, If we want to label it how will do it

[rahulsaini]

How to activate intellisence in jupyter notebook like you have shown in video