Data Visualization with Python - A Simple Case Study

It's been a while since my last article, over a month ago. In the last month, I've been busy with several final projects for the end of semester 2 exams, so it's quite a challenge to manage my time including writing articles.

But here we are, this time the topic is a light topic to learn, it's data visualization. We will use a simple case study to have a better understanding of data visualization.

What is the Case Study?

In a survey containing a study motivation index from a scale of 1-10 conducted on students at school X from class Y, the following data was obtained:

# x as student name data
x = ['Andi', 'Corin', 'Naula', 'Dony', 'Hani', 'Naufal']

# y as study motivation scale
y = [5, 9, 3, 6, 8, 4]

You are asked to visualize the data using python to make it easier to understand the data.

How to Visualize the Data?

1. First, what kind of data will be visualized?

   Because we will display data that has a certain scale, we will display it with a bar chart using the matplotlib library.

2. Prepare Library and Data required

   Create a python file with the name data-visualization.py

   import pandas as pd
   import matplotlib.pyplot as plt
   
   # x as student name data
   x = ['Andi', 'Corin', 'Naula', 'Dony', 'Hani', 'Naufal']
   
   # y as study motivation scale
   y = [5, 9, 3, 6, 8, 4]

3. Visualize the Data

   # using bar chart for x and y data 
   plt.bar(x, y)
   
   # set the chart title
   plt.title('Study Motivation')
   
   # set the x label as Student
   plt.xlabel('Student')
   
   # set the y label as Scale
   plt.ylabel('Scale')
   
   # display chart
   plt.show()

4. Check the Output

   

   
   

   Congrats, you have successfully visualized the data!

   See, with bar charts we are easier to understand the meaning of a data, we can immediately draw conclusions just by looking at which chart is the highest to find out which students have high learning motivation and vice versa.

Conclusion

Data visualization is so important in helping us to understand data, by knowing what kind of data to visualize, and in the right way, the information from the data will be easily conveyed and can later be used in making conclusions or decisions.

I hope this simple tutorial has provided you with a clear understanding of the concept of data visualization.