CRI350H1 Lecture Notes - Lecture 11: Google Scholar, List Of Statistical Packages, Toronto Police Service
Document Summary
1) introduction to statistical programs and their pros and cons. 2) preview some of r programming language. 3) learning how to read in data, view data, and do some basic analyses in r. Pull data from toronto police department, visualize it, and analyze it using basic statistical techniques for estimating relationships btw 2 variables (or bivariate relationships) We"ll do this analysis using the statistical software package r since it"s widely used in. There are other statistical software packages that are often used, including ss, stata, the social sciences. Google scholar hits for different statistical packages. Easiest to use point in click, not a lot of programming involves. R, stata, systat increasing over time. Spss very common very easy to use. Can read in many different data types excel, text, map, database, json, etc. It can interact dynamically w/ other programs, pull data from the internet, automatically create ms word documents, pdfs, websites, & applications.
