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Analyzing Documents with TF-IDF | Programming Historian
"This lesson focuses on a foundational natural language processing and information retrieval method called Term Frequency - Inverse Document Frequency (tf-idf). This lesson explores the foundations of tf-idf, and will also introduce you to some of the questions and concepts of computationally oriented text analysis."
text-mining  python  digital-humanities  text-analysis  tutorial 
29 days ago by tsuomela
How to Make Better-Looking, More Readable Charts in R | FlowingData
"Defaults are generalized settings to work with many datasets. This is fine for analysis, but data graphics for presentation benefit from context-specific design."
data-science  visualization  r  tutorial 
august 2018 by tsuomela
Python Programming for the Humanities by Folgert Karsdorp
"The programming language Python is widely used within many scientific domains nowadays and the language is readily accessible to scholars from the Humanities. Python is an excellent choice for dealing with (linguistic as well as literary) textual data, which is so typical of the Humanities. In this book you will be thoroughly introduced to the language and be taught to program basic algorithmic procedures. The book expects no prior experience with programming, although we hope to provide some interesting insights and skills for more advanced programmers as well. The book consists of 10 chapters. Chapter 5 and Chapter 6 are still in draft status and not ready for use."
python  programming  tutorial  digital-humanities 
january 2018 by tsuomela
Ways to Compute Topics over Time, Part 1 · from data to scholarship
"This the first in a series of posts which constitute a “lit review” of sorts to document the range of methods scholars are using to compute the distribution of topics over time."
digital-humanities  topic-modeling  methods  tutorial  temporal 
june 2017 by tsuomela
An Introduction to Spatial Data Analysis and Visualisation in R - CDRC Data
"This tutorial series is designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. R is an open source software environment for statistical computing and graphics. It has a range of bespoke packages which provide additional functionality for handling spatial data and performing complex spatial analysis operations. The practical series uses open data which has been made readily available and demonstrates a range of techniques useful in social sciences including multivariate analysis, mapping and spatial interpolation. "
r  statistics  tutorial  geospatial  mapping  gis 
may 2017 by tsuomela
"Over the last couple of years the mil dot reticle has become less of an option and more the standard in tactical rifle scopes. Since its inception with the Unertl USMC sniper scope and later in various versions of the Leupold Mark IV scope, military snipers have come to know the mil dot reticle as a reliable means of determining distances to targets, establishing leads for moving targets, and for alternate aiming points for windage and elevation holds."
optics  tutorial 
december 2016 by tsuomela
Facets (ggplot2)
mosaics and other plot dividers for categorical data
r  statistics  tip  plot  tutorial 
june 2016 by tsuomela
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