# ChatGPT for Data Visualization

## ChatGPT can teach you the basics of data visualization

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**Authors**: *Benjamin O. Tayo and Gideon Takor*

**Benjamin O. Tayo LinkedIn Profile**: https://www.linkedin.com/in/benjamin-o-tayo-ph-d-a2717511/

**Gideon Takor LinkedIn Profile**: https://www.linkedin.com/in/gideon-takor-mba-28835820/

ChatGPT can teach you the basics of data visualization. If you have an account on openai.com, you can use the queries presented below to learn the basics of data visualization.

# 1. Matplotlib

**Input query**: *python matplotlib*

**Output from query**: Matplotlib is a Python library used for creating visualizations and plots. It is a popular library for data visualization and is often used in conjunction with NumPy and Pandas libraries for data analysis.

Here’s a basic example of how to use Matplotlib to create a line plot:

`import matplotlib.pyplot as plt`

import numpy as np

x = np.linspace(0, 10, 100)

y = np.sin(x)

plt.plot(x, y)

plt.xlabel('x')

plt.ylabel('y')

plt.title('Sine Wave')

plt.show()

In this example, we import the Matplotlib library and NumPy library. We then create an array `x`

that ranges from 0 to 10 with 100 points, and an array `y`

that contains the sine of each element in `x`

. We then use the `plt.plot()`

function to create a line plot of `x`

and `y`

. Finally, we add labels to the x and y axes, a title to the plot, and display the plot using the `plt.show()`

function.

# 2. Scatterplot

**Input query**: *python scatterplot*

**Output from query**: To create a scatter plot in Python using Matplotlib, you can use the `scatter()`

function.

Here's an example of how to create a scatter plot using randomly generated data:

`import matplotlib.pyplot as plt`

import numpy as np

x = np.random.rand(50)

y = np.random.rand(50)

plt.scatter(x, y)

plt.xlabel('X Axis')…