The data visualization trend is growing; however, not everyone is a skilled programmer, or proficient in data visualization. That matters very little these days, as many programs have been developed to make data visualization more accessible and user-friendly to non-coders.
One of the most interesting areas to develop recently is data journalism – that is, using data to tell stories. Sometimes, this might be a large, data-driven website like some of the examples below. However, even ‘softer’ approaches like including graphs and infographics are an example of how successfully data can add life and credibility to journalistic pieces.
Below are 12 best examples of data journalism on the web which not only just present the data – they still manage to weave in a story and help the reader to understand the issue and interpret the information.
Whenever you need to pull some data from a third party website, the first thing to check is whether the website provides an API or a mechanism to access the data programmatically.
But in case it doesn’t have an API yet but still allows users to browse and download its content, then you can access it programmatically as well. That’s, you can pull out data straight from the HTML in a structured form. Doing so is called Web Scraping, let’s see what exactly it is.
In this post, I will share with you, four best free web scraping tools for non-programmers who want to create insightful data-driven content without hiring a programmer. I’m frequently using them to fulfil my web scraping tasks.
I know there are many software tools out there but these four FREE software tools I consider to be the best for basic scraping of websites, Facebook and Twitter data into Excel spreadsheets.
Let’s get started.