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Time Series Forecasting Dashboard

Build a complete time series analysis system with trend detection and forecasting

ProgressSection 1 of 5

Section 1: Understanding Time Series Data

📖

EXPLAIN: Understanding the Concept

📊 What is Time Series Analysis?

Time Series Analysis examines data points collected over time to identify patterns, trends, and make predictions.

Why this matters: Businesses use time series analysis to forecast sales, predict demand, and identify seasonal patterns.

What you'll build: A forecasting dashboard that analyzes monthly sales data, detects trends, and predicts future performance.

  • Calculate monthly growth rates
  • Identify trends (growing, declining, stable)
  • Compute moving averages for smoothing
  • Forecast next month's sales
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SHOW: Here's How It Works

👀 Time Series in Action

Here's what time series analysis looks like:

Monthly Sales: [12000, 13500, 14200, 15100, 14800, 16300]
Months: Jan, Feb, Mar, Apr, May, Jun

Growth Rate: 8.5%
Trend: GROWING
3-Month Moving Average: 15400
Forecast for July: 17,050
✍️

PRACTICE: Now You Build It!

✍️ Your Turn: Analyze Sales Trend

Run the code to see basic time series calculations. Notice how we can identify growth patterns and smooth data with moving averages.

Code Editor
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💻 Output:
Click 'Run Code' to see output here...