LM Simple Visualisations

Simple Visualisations

Visualization is a key skill for communicating your data insights. In Python, you often use:

  • matplotlib for creating plots and charts
  • pandas integrated plotting functions for quick visual checks

You learned to create line plots, bar charts, and histograms to better understand and present your data.

Example

import pandas as pd
import matplotlib.pyplot as plt

# Example data
data = {
    "Year": [2020, 2021, 2022],
    "Sales": [100, 150, 200]
}
df = pd.DataFrame(data)

# Line plot
plt.plot(df["Year"], df["Sales"], marker="o")
plt.title("Sales over Years")
plt.xlabel("Year")
plt.ylabel("Sales")
plt.grid(True)
plt.show()

Creating simple plots helps you quickly explore trends and share your findings visually.

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