Food Price Forecasting with Functions

Write functions to forecast time series of food prices in Rwanda.

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Project Description

Writing functions make your analyses more readable and more repeatable. In this project, you'll analyze food prices in Rwanda, then wrap your code into functions to apply your analysis to other food types. The ability to import, wrangle, manipulate, and forecast data will be useful throughout the project.

Project Tasks

1
Task 1

Technologies

Topics

Data Manipulation

Prerequisites

Forecasting in R Working with Dates and Times in R Introduction to Writing Functions in R

Richie Cotton

Data Evangelist at DataCamp

Richie is a Data Evangelist at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.

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