Course Content

# Unlocking Insights with Data Visualization: A Hands-On Exploration

Unlocking Insights with Data Visualization: A Hands-On Exploration

## Line Plots

A **line plot** is a graphical representation of data that displays data along a number line. It consists of a set of points plotted on a graph, where the x-axis represents the independent variable, and the y-axis represents the dependent variable. Line plots are useful for displaying trends in data over time or across different categories.

Line plots are often used to visualize changes in a variable over time, such as stock prices or weather data. They can also be used to compare the values of different variables, such as the number of sales for different products or the performance of different teams. Line plots can be useful for identifying patterns and trends in data and for making predictions about future values.

In Python, line plots can be created using the `plot()`

function of the `matplotlib`

library.

# Task

- Import the necessary libraries;
- Generate a random series of 1000 points;
- Plot a single line;
- Generate a second random series and plot it on the same graph.

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