nabinnoのブックマーク - はてなブックマーク

Summary statistics in Stata | data.library.utoronto.ca
Once you have a dataset ready to analyze [1] , the first step of any good empirical project should be to create summary statistics. Summary statistics are a way to explore your dataset, find patterns, and maybe even refine your question of interest. In this workshop, you will learn to use Stata to create basic summary statistics, cross-tabulations, and increasingly rich tables of summary statistic
nabinno 2016/10/24
university-of-toronto

canada
リンク
Research Guides | data.library.utoronto.ca
Python Cleaning data in Python (UofT) Scraping tweets using Python (UofT) R (UofT Tutorial) Learn and use R (UCLA) Intro to R (Datacamp) Try R (Code School) SPSS Learn and use SPSS (UCLA) FAQ (UCLA) SAS Learn and use SAS (UCLA) FAQ (UCLA)
nabinno 2016/10/24
university-of-toronto

canada
リンク
Cleaning data in Python | data.library.utoronto.ca
Table of Contents Set up environments Data analysis packages in Python Clean data in Python Load dataset into Spyder Subset Drop data Transf orm data Create new variables Rename variables Merge two datasets Handle missing values A few last words Note : pandas is a powerfull open source Python data analysis library that is used for data cleaning. A complete documentation can be found here . Please
nabinno 2016/03/27
university-of-toronto

canada
リンク
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