## Customization in matplotlib part-2

Introduction In this tutorial, we will discuss spines, styles, lifestyle and makers in this customization blog. We have used one dataset throughout the series of matplotlib that is of Automobiles/Cars…

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## Customization in graph

Introduction In this tutorial of matplotlib, we are going to talk about customization in graphs like how to add labels (% in graphs), rotating labels and adjust plots to make…

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## Box Plot and Sub Plot

Introduction Box plot basically gives a nice summary of a numerical variable like median, max, min value etc. The end of the box shows the upper and lower quartile. Extreme…

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## Pie Chart and Heat Map

Introduction Pie Charts are useful to visualize the proportion of categories in data. The higher the proportion higher will be the size of the pie. We will try to explore…

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## Area Plot and Stack Plot

Introduction Area Chart is like it shows the area which particular column covers in a particular range. We can assume area plot as the line plot which also shows the…

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## Scatter and Bubble Plot

Introduction Till now, we have seen Line Plots, Bar chart and Histogram and how to build them using matplotlib. Now it is a turn of Scatter plot and Bubble plot.…

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## Bar Graph and Histogram

Introduction In this blog, we will cover two more graphs in matplotlib i.e, Bar graphs and matplotlib. As many of us have confusion between Bar graph and histogram as both…

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## Titles, Labels, Legends in graph

Introduction In the previous blog, we have seen the data with which we are going to work and then some data pre-processing. We have explored the line plots using that…

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## Introduction to data and Line Plot

This is the second blog in the series of matplotlib and in the previous blog we have seen why we need data visualization, the architecture of matplotlib. If you want…

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## Introduction to matplotlib

Introduction In this series of Matplotlib, will going to cover "Data Visualization in Python using Matplotlib". We will discuss what is visualization, why is it necessary for a Data Scientist.…

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