World Bank borrowing and lending 2013

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Unemployment rates of US states

Here is a map of the United States. The darker the blue, the higher the unemployment rate. Mouse over the states to see their unemployment percentage.

Moyes: Twitter reaction

Here's some more of what Twitter thinks about Moyes.

I've grabbed a few thousand tweets from ScraperWiki, a tool which makes scraping twitter easy, with a few limitations. 

Here's a word cloud of the content:

Here is a map of where people are tweeting from. Click on the dots to read the tweet!

How to scrape using OutWit Hub

Outwit Hub is a great tool for getting data from webpages for non programmers. Let's have a look at how to use it.

First grab yourself a free version of the software by downloading it from here.

Problem solving with spreadsheets: how to turn a list into a running total (and have a laugh at David Moyes' expense)

As a follow up to my post about scraping websites using Import.io where I scraped data about the most successful premier league football teams, I decided to make the data tell a better story than a simple bar chart of total league titles, which looked like this:

How to do a basic data scrape using Import.io

Import.io is a data scraping tool that is designed to make collecting data from websites easy to accomplish. So let's give it a go...

First you will need to download Import.io. It's free and you can get it here.

Data journalism review: Media Guido and the BBC's left wing bias

Not a good indicator of left leaning bias

A recent post on the Media Guido blog compares the proportion with which the BBC buys newspapers with the proportion with which the public consumes them.

Owen Boswarva's comments on the #floodhack data releases by the Environment Agency

As a follow up to my story for the Guardian about open 
climate data, here are Owen Boswarva's thoughts on the Environment Agency flood data releases, and his hopes for future releases. Boswarva is an open data advocate, and he sits on Defra's transparency board. He also blogs about open data for the Guardian. As only a fraction of his insights made it into the article as quotes, I have provided the full version here, as it contains a good summary of the situation as it stands, and some great links to applications that people have built using the data releases. Be sure to check out the links for some very elegant examples of what you can do with data.

How open data is being used to hack climate change

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My post-Snowden guide to internet privacy and security

How to map location of tweets using a specific hashtag

The Peer Review Watch team and I recently put on a debate on the subject of science publishing. The debate was entitled Peer review is broken. How do we fix it? and was a great success.

Not only was there a full panel of knowledgeable people from science and science publishing, there was also a full audience and participation online through our livestream and our hashtag for the event, #prwdebate.