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11 Ways to Visualize Changes Over Time – A Guide FlowingData ~ I like this listing of basic ways to visualize changes over time very much There might be some additional information that could be interesting – I’ve held a lecture on the visualization of timeoriented data for a couple of years now and collected quite a wide variety of applicable techniques along with some theory

FlowingData ~ Trey Harris a previous tech administrator for a university tells the story of a statistics department that couldn’t send email farther than 500 miles story is more about the peculiarities of server admin in 2002 but I’m more interested in those statisticians

Data Visualization Principles Lessons from Tufte Moz ~ When I began to practice SEO 8 years ago I never would have guessed that Id be writing a post about data visualization Perhaps I might have foreseen myself writing about web analytics or information architecture but data visualization seemed like something for the statistics fans But today in web marketing the emphasis on content has never been stronger and it just so happens that

Investigative Journalism Manuals ~ Investigative Journalism Investigative Journalism Manual This useful guide began as a handbook for African journalists with case studies and exercises published by the German foundation Konrad Adenauer latest edition is global and is designed for reporters facing as repressive media laws lack of transparency and limited resources

How to make a simple heatmap in ggplot2 Rbloggers ~ In the world of data visualization the heatmap is underrated and underutilized It has limitations but overall it’s an excellent tool in your data science and data visualization toolkit After you’ve mastered the foundational visualization techniques you can write the code for the basic plots in your sleep right you should learn the heatmap

Tutorials for learning R Rbloggers ~ R packages are the fuel that drive the growth and popularity of R R packages are bundles of code data documentation and tests that are easy to share with others Before you can use a package you will first have to install it Some packages like the base package are automatically installed when you install packages like for example the ggplot2 package won’t come with the

Probably Overthinking It – A blog by Allen Downey ~ The vertical axis St is the estimated survival curve which is the fraction of women who have never been married as a function of age The gray lines show projections based on the assumption that each cohort going forward will “inherit” the hazard function of the previous cohort

A Very Short History Of Data Science Forbes ~ The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young onecomputer science The term “Data Science” has

Représentation graphique de données — Wikipédia ~ Au RoyaumeUni cest Francis Galton qui fait une importante contribution à la visualisation de données en proposant des représentations graphiques de la corrélation entre deux variables nuage de points mais aussi des cartes météorologiques 14Au cours du premier XX e siècle les statisticiens prêtent une moindre attention à la visualisation de données 15

R Programmiersprache – Wikipedia ~ R wurde 1992 von den Statistikern Ross Ihaka und Robert Gentleman an der Universität Auckland entwickelt Sie orientierten sich dabei eng an der in den Bell Laboratories heute Teil von AlcatelLucent und somit Nokia entwickelten Sprache S die zur Verarbeitung statistischer Daten dientR kann als freie Implementierung von S angesehen werden Daher ist die Mehrzahl der für S geschriebenen