R and SQL make excellent complements for analyzing data due to their respective strengths. The sqldf package provides an interface for working with SQL in R by querying data from a database into an R data.frame. This post will demonstrate how to query and analyze data using the sqldf package in conjunction with the graphing libraries plotly and ggplot2 as well as some other packages that provide useful statistical tests and other functions.
The consumer complaints database is a collection of complaints received by the Bureau of Consumer Financial Protection related to financial products and services. This post explores creating a database file using SQLite and analyzing the data with Pandas and Plotly.
- Data Science
- Linear Algebra
- Machine Learning
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