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