What is Data Visualization? #
Data Visualization is the process of presenting data in graphical form (charts, graphs, dashboards) to make it easier to understand patterns, trends, and insights.
Importance of Data Visualization #
- Makes data easy to understand
- Highlights trends and patterns
- Improves decision-making
- Communicates insights clearly
Common Types of Charts #
- Line Chart: Shows trends over time
- Bar Chart: Compares categories
- Pie Chart: Shows proportions
- Histogram: Shows data distribution
- Scatter Plot: Shows relationships between variables
Steps in Data Visualization #
- Choose the right chart type
- Prepare clean data
- Plot the data
- Add labels, titles, and legends
- Interpret the results
Step 1: Import Libraries #
import matplotlib.pyplot as plt import pandas as pd
Step 2: Load Data
data = pd.read_csv("data.csv")Step 3: Create Charts #
Line Chart
data["sales"].plot() plt.show()
Bar Chart
data.groupby("product")["sales"].sum().plot(kind="bar")
plt.show()