5 Quick And Easy Data Visualizations In Python

5 quick and easy data visualizations in python are Matplotlib is a popular python library that can be used to create your Data Visualizations quite easily. However, setting up the data, parameters, figures, and plotting can get quite messy and tedious to do every time you do a new project.
LINE PLOTS
Line plots can be created in python with Matplotlib’s pyplot library. To build a line plot, first import Matplotlib. It is standard convection to import Matplotlib’s pyplot library.
SCATTER PLOTS
Scatter plots are used to observe relationships between variables and uses dots to represent the relationship between them.
BAR PLOTS
bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally.
HISTOGRAMS
Matplotlib can be used to create histograms. A histogram shows the frequency on the vertical axis and the horizontal axis
BOX PLOTS
Boxplots are a measure of how well distributed the data in a data set is. It divides the data set into three quartiles. This graph represents the minimum, maximum, median, first quartile and the third quartile in the data set.
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