laofei177 / arima-forecasting

Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot

Forecasting Time Series with ARIMA

This exercise uses Python StatsModel to forecast a time series of a Walmart parking lot’s car counts with an ARIMA model. The data includes car count, weather, and a cloudy day indicator derived from satellite imagery. The notebook contains an exploratory data analysis and ARIMA forecasting.

Table of Contents

• Dataset
• Exploratory Data Analysis
  • Yearly Trends
  • Outlier Analysis
  • Weather Variable
  • Day of Week
• ARIMA Forecasting
  • Stationarity
  • ACF and PACF
  • Fitting Model
  • Forecasting
• Summary