I am using this source from a couple of years. And we will choose “Weather Underground” as our source. So today I am going to write an R code and some manual trick to download the temperature data for different cities.įirst, I will write how to download the data manually as the R code is not very efficient in extracting data for all variables. To understand the relation between temperature and demand we need historical data.

Forecasting of FMCG products is also very important for manufacturer and temperature play again an important role to understand the demand. So dairy products manufacturers have to adjust their storage of raw material and production of final products in such a way which can minimize the operational cost. Milk which is the major component for ice cream is heavily produced during winter as cows produce more in this season but consumed more in summer. It is a very interesting case study to read upon. Weather is an important factor for fast moving consumer goods product.

Weather underground temperature history