– easily analyze data correlations in the web


How could this tool help me?

In essence, what Scattr does is to draw nice, web-based scatter plots (also known as dot plots) that are particularly useful when analyzing correlations between a pair of quantitative data sets.

For example one could use Scattr to visualize and analyze data exported from Google Search Console. In this context dot plots are also useful to spot outliers respectively under- and overperforming data points. E.g. a Google search term having a lot of impressions, but very few clicks.

Is this tool for free?

Yes, this tool is for free entirely and brought to you by Scaling Curve. It's just a neat tool to easily analyse correlations in quantitative data through the web browser. We've no plans to commercialize it. If it's useful to you, we'd appreciate your feedback as well as you sharing it with your friends and colleagues.

Who's behind Scattr?

Scattr is brought to you by Scaling Curve which is a small web development company with a special focus on building data-driven user experiences on the web.

What differentiates us amongst other web development and design shops is our special data visualization knowledge – which we are using to present data in a way that is tailored to the cognitive power of the human visual sense. In this context, we aim to help humans to make sense of big data through the design and development of dashboards, reports and so on.

If you've eager to learn more about our service, take a look at our data visualization service page. If you're into sports and football you might wanna take a look at our project, which from our perspective is the easiest way to compare football team stats out there.

What happens with my data?

The data you upload never leaves your computer. In fact, Scattr is storing your data in the local storage of your browser. This means that your data is under no circumstances sent to our servers. You can easily check that this is true by using the developer console built in in your browser.

How is it done technically?

Probably the most interesting technical piece about Scattr is that it heavily uses D3.js and SVG (Scalable Vector Graphics).

For those who don't know SVG: SVG is a text-based, vector graphics format that is available in every modern web browser these days. A particular advantage of SVG over raster image formats like PNG or JPEG is that it scales with todays different screen sizes perfectly.

For people who don't know D3.js: it is a JavaScript library used in a web browser to produce any kind of data visualization. Take a look at D3's stunning examples. We promise you'll be impressed.

How can I help?

You can help us by giving us feedback about bugs and features you would find useful. Simply send us a message on Twitter or email. You can help us as well by spreading the word about Scattr on Twitter, Facebook and so on.