In fact, the use of Python visual data is not very troublesome, because Python has two dedicated to the visualization library matplotlib and seaborn make it easy for us to complete the task.
We use Python which visualizations can be made?
When you give people a form such as:
This table looks to others, neither comfortable nor good to watch. Most most most important point is low!
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Here we use the data set that the simple way of example, shows nine kinds to make visualization with Python, together with the relevant code.
Import data set
Visualized as a histogram
Visualized as boxplot
Visualized as violin map
Visualized as a bar graph
Visualized as a line chart
Visualized as a stacked bar chart
Visualized as a scatter plot
Visualized as a bubble chart
Visualized as a pie chart
Visualized as heat maps
You can also try for yourself, such as gender (X-axis) and BMI (Y-axis) plotted heat map based on two variables.
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Epilogue
In this paper we shared visual graphics how to use Python and matplotlib and seaborn library to produce varied. By the example above, we should be able to take advantage of the visual can feel how beautiful display data. And compared to other languages, using Python is easier to visualize some of the simple.