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Predicting the Future: An Introduction to Time Series Forecasting Techniques

  • Writer: E Lin
    E Lin
  • Feb 8, 2023
  • 1 min read

Problem: TIME SERIES PREDICTION for NIKE sales orders from 2020-2022

Questions:

**Nike sales order in 2021-07 went up from 5000 in 2020 to keep increasing to 40, 000. The monthly fluctuated increasing and decreasing every month. **


DATA VISULIZATION 
import warningsimport matplotlib.pyplot as plty = df['Orders']fig, ax = plt.subplots(figsize=(20, 6))ax.plot(y,marker='.', linestyle='-', linewidth=0.5, label='Weekly')ax.plot(y.resample('M').mean(),marker='o', markersize=8, linestyle='-', label='Monthly Mean Resample')ax.set_ylabel('Orders')ax.legend();




 
 
 

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