A Basic Dashboard combines multiple visualizations to present key insights in one view.
In Data Analytics, dashboards help decision-makers quickly understand performance, trends, and comparisons.<\/p>\n\n\n\n
In this project, we will create a simple Sales Dashboard.<\/p>\n\n\n\n
import pandas as pd
import matplotlib.pyplot as plt<\/pre>\n\n\n\nStep 2: Create Sample Dataset<\/h2>\n\n\n\n
data = {
\"Month\": [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\"],
\"Sales\": [10000, 15000, 20000, 18000, 25000, 22000],
\"Expenses\": [7000, 9000, 12000, 11000, 15000, 14000],
\"Profit\": [3000, 6000, 8000, 7000, 10000, 8000]
}df = pd.DataFrame(data)<\/pre>\n\n\n\nStep 3: Create Dashboard Layout<\/h2>\n\n\n\n
We will use subplots to place multiple charts in one figure.<\/p>\n\n\n\n
plt.figure(figsize=(12, 8))<\/pre>\n\n\n\n1. Line Chart (Sales Trend)<\/h2>\n\n\n\n
plt.subplot(2, 2, 1)
plt.plot(df[\"Month\"], df[\"Sales\"], marker=\"o\")
plt.title(\"Monthly Sales Trend\")
plt.xticks(rotation=45)<\/pre>\n\n\n\n2. Bar Chart (Profit by Month)<\/h2>\n\n\n\n
plt.subplot(2, 2, 2)
plt.bar(df[\"Month\"], df[\"Profit\"])
plt.title(\"Monthly Profit\")
plt.xticks(rotation=45)<\/pre>\n\n\n\n3. Pie Chart (Expense Distribution)<\/h2>\n\n\n\n
plt.subplot(2, 2, 3)
plt.pie(df[\"Expenses\"], labels=df[\"Month\"], autopct=\"%1.1f%%\")
plt.title(\"Expense Distribution\")<\/pre>\n\n\n\n4. Line Chart (Sales vs Expenses)<\/h2>\n\n\n\n
plt.subplot(2, 2, 4)
plt.plot(df[\"Month\"], df[\"Sales\"], label=\"Sales\")
plt.plot(df[\"Month\"], df[\"Expenses\"], label=\"Expenses\")
plt.title(\"Sales vs Expenses\")
plt.legend()
plt.xticks(rotation=45)<\/pre>\n\n\n\nFinal Step: Adjust Layout and Show<\/h2>\n\n\n\n
plt.tight_layout()
plt.show()<\/pre>\n\n\n\nWhat This Dashboard Shows<\/h2>\n\n\n\n
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- Sales growth trend<\/li>\n\n\n\n
- Monthly profit comparison<\/li>\n\n\n\n
- Expense distribution<\/li>\n\n\n\n
- Sales vs expense comparison<\/li>\n<\/ul>\n\n\n\n
Why Dashboard Projects are Important<\/h2>\n\n\n\n
Dashboards help:<\/p>\n\n\n\n
Track business performance
Compare KPIs
Identify trends and patterns
Support data-driven decisions
Present insights in a professional format<\/p>\n\n\n\nKey Takeaway<\/h2>\n\n\n\n
A Basic Dashboard combines multiple charts into one visual report.
This is a foundational step toward building professional dashboards using tools like Power BI, Tableau, or advanced Python visualization libraries.<\/p>\n\n\n\n<\/strong><\/p> <\/div> <\/div>\n\n\n