Data Science Toolkit. Think Stats: Probability and Statistics for Programmers. By Allen B.
Downey, published by O'Reilly Media. Order Think Stats from Amazon.com Download this book in PDF. Read this book online. Data Publica. Portail de la statistique publique. Public Data Explorer. INSEE. Gapminder: Unveiling the beauty of statistics for a fact based world view. Freebase. The R Project for Statistical Computing. Rewire the web.
We are introducing a new module, the XPATH Fetch Page.
We are also going to deprecate the Fetch Page module at the end of June. So please convert your existing Pipes that use the Fetch Page module to the XPATH Fetch Page module...more. Data Scraping Wikipedia with Google Spreadsheets. Prompted in part by a presentation I have to give tomorrow as an OU eLearning community session (I hope some folks turn up – the 90 minute session on Mashing Up the PLE – RSS edition is the only reason I’m going in…), and in part by Scott Leslie’s compelling programme for a similar duration Mashing Up your own PLE session (scene scetting here: Hunting the Wily “PLE”), I started having a tinker with using Google spreadsheets as for data table screenscraping.
So here’s a quick summary of (part of) what I found I could do. The Google spreadsheet function =importHTML(“”,”table”,N) will scrape a table from an HTML web page into a Google spreadsheet. The URL of the target web page, and the target table element both need to be in double quotes. The number N identifies the N’th table in the page (counting starts at 0) as the target table for data scraping. Many Eyes. OpenHeatMap. Playing with heat-mapping UK data on OpenHeatMap. Last night OpenHeatMap creator Pete Warden announced that the tool now allowed you to visualise UK data .
I’ve been gleefully playing with the heat-mapping tool today and thought I’d share some pointers on visualising data on a map. This is not a tutorial for OpenHeatMap – Pete’s done a great job of that himself (video below) – but rather an outline of the steps to get some map-ready data in the first place. [youtube: 1. Scraping for Journalism: A Guide for Collecting Data. Photo by Dan Nguyen/ProPublica Our Dollars for Docs news application lets readers search pharmaceutical company payments to doctors.
We’ve written a series of how-to guides explaining how we collected the data. Most of the techniques are within the ability of the moderately experienced programmer. The most difficult-to-scrape site was actually a previous Adobe Flash incarnation of Eli Lilly’s disclosure site. Data Visualization. Definition: Tools that help users discern patterns in data--dynamic graphs, charts, maps, plots, etc.
Tools: Chartle: Create simple interactive charts. Tutorials. How to Download and Use Online Data with Arduino Before you can do anything with data, you have to get it into the application.
Working with an Arduino is no different. How to Make Bubble Charts. A bubble chart can also just be straight up proportionally sized bubbles, but here we're going to cover how to create the variety that is like a scatterplot with a third, bubbly dimension.
The advantage of this chart type is that it lets you compare three variables at once. One is on the x-axis, one is on the y-axis, and the third is represented by area size of bubbles. Have a look at the final chart to see what we're making. Step 0. Download R.