855 search results for "SQL"

R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

April 29, 2015
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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

Web tools like D3.js and WebGL let you make beautiful, interactive 2D and 3D graphs. You can now publish graphs and dashboards with these technologies using Python, R, MATLAB, & Excel. Publishing and sharing is one extra line of code. This post puts you on your way, no downloads or installations required. We’ll start with ggplot2; scroll to see Python and MATLAB plots in 2D and 3D. See our

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Time Series Graphs & Eleven Stunning Ways You Can Use Them

April 22, 2015
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Time Series Graphs & Eleven Stunning Ways You Can Use Them

Many graphs use a time series, meaning they measure events over time. William Playfair (1759 - 1823) was a Scottish economist and pioneer of this approach. Playfair invented the line graph. The graph below–one of his most famous–depicts ho...

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R vs QGIS for sustainable transport planning

April 19, 2015
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R vs QGIS for sustainable transport planning

The 23rd iteration of the GIS Research UK conference (#GISRUK) conference was the largest ever. 250 researchers, industry representatives and academics attended from the vibrant geospatial research communities in the UK, Europe and beyond. GISRUK has become a centrepoint for discussion of new methods, software and applications in the field. I was on the organising committee, reviewed some excellent papers for the event (a full list...

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Boston Elite Field 2015

April 19, 2015
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Boston Elite Field 2015

Last year I posted about how chances of a non-African country winning the Boston Marathon seemed to be good because of the widening interval of winning times (more recently there had been some historically "slower" races and some historically "faster" ...

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Analysing The Rock ‘n’ Roll Madrid Marathon

April 18, 2015
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Analysing The Rock ‘n’ Roll Madrid Marathon

Nobody’s going to win all the time. On the highway of life you can’t always be in the fast lane (Haruki Murakami, What I Talk About When I Talk About Running) I started running two years ago and one if my dreams is to run a marathon someday. One month ago I run my first … Continue reading...

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Forecasting the Argentinian “Blue Dollar”

April 9, 2015
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If you have visited recently my website, Bluelytics, you will notice there is a new section named "Predicción", which is a forecast of the value of the Blue Dollar in a 12-month horizon. You can find it at http://bluelytics.com.ar/#/forecast You will find that it has a minimun value and a maximun value for each month, and it's included in...

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rPithon vs. rPython

March 30, 2015
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rPithon vs. rPython

Similar to rPython, the rPithon package (http://rpithon.r-forge.r-project.org) allows users to execute Python code from R and exchange the data between Python and R. However, the underlying mechanisms between these two packages are fundamentally different. Wihle rPithon communicates with Python from R through pipes, rPython accomplishes the same task with json. A major advantage of rPithon

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Makefiles and RMarkdown

March 28, 2015
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Makefiles and RMarkdown

Quite some time ago (October 2013, according to Amazon), I bought a copy of “Reproducible Research with R and RStudio” by Christopher Gandrud. And it was awesome. Since then, I’ve been using knitr and RMarkdown quite a lot. However, until recently, I never bothered with a makefile. At the time, I had assumed that it

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The World We Live In #4: Marriage Ages

March 16, 2015
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The World We Live In #4: Marriage Ages

It is time for women to stop being politely angry (Leymah Gbowee, Nobel Prize Peace Winner) Sometimes very simple plots give insight into we live in a world of differences. This plot shows the mean age at marriage for men and women across countries: Being a woman in some countries of this world must be a … Continue reading...

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Dealing with a Byte Order Mark (BOM)

March 11, 2015
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Dealing with a Byte Order Mark (BOM)

I have just been trying to import some data into R. The data were exported from a SQL Server client in tab-separated value (TSV) format. However, reading the data into R the "usual" way produced unexpected results: Those weird characters in the first record... where did they come from? They don't show up in a The post

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