How To Use Auto Arima Forecast Package In R!

I have had some requests recently to make a quicker version for forecasting time series data. So in this video I will show you how to use the auto arima r package. We will build an auto arima model on 2 years of data from a local auto body shop here in Mecklenburg county. This is a complete walk-through tutorial on forecasting and time series analysis using the auto arima package in r. This is a very quick and easy method and we use RStudio for this example. I list all the code you will need including the packages and even test functions along with complete explanations. Watch this video from beginning to end and you will be able to quickly do time series forecasting on any time series based data set. Get a free stock like Apple, Ford, or Facebook worth up to $500 just by signing up and joining Robinhood using my link: https://join.robinhood.com/davidm16707 Video order: 1) load packages and dataset. 2) use ts function to place the data in timeseries format. 3) plot the data. 4) use auto.arima function to build the auto arima model. 5) use forecast functionfunction to build the forecast for a 17 week period. 6) show the forecasted values. 7) plot the newly forecasted auto arima model. 8) plot the residuals to look for congruence or variance in the forecasted data. 9) Test the auto arima model and measure the accuracy. Link to dataset on Kaggle: https://www.kaggle.com/dmaillie/auto-... I hope you found this video interesting, helpful and informational. Please take a moment to subscribe, like and share! Be sure and leave a comment I would love to hear from you! Also, check out all the other great videos on predictive analytics, data science, custom arima models, dealing with seasonality and much more! Thanks again and God bless!