Try Pretty Graph without signing up and buy it if you like it

By Hrishi Mittal | September 23, 2010 | Posted under Pretty Graph | Comments (3)

Tags: pricing

I’ve been meaning to make this change for a long time and it’s finally here!

New users can now try out pretty graph without even having to sign up. Just go straight to https://app.prettygraph.com and you can give it a go without having to create yet another account for yet another website

The no-signup free version of the application is limited in some ways. For example, you cannot download PDF versions of the graph or save your uploaded data files. If you wish to use these functionalities, you need to buy a Basic Account. Currently, you can buy the full-blown version in three flavours:

(a) try it out for a week just for $5

(b) buy a monthly subscription for $9 per month only (charged recurringly)

(c) buy an annual subscription for $49 per year (yes that’s less than 6 monthly subscriptions!)

If you are one of our early beta users, well firstly, thank you so much for your support. You get to use the full basic version of the application until the end of 2010 for free. If you still find it useful, you are welcome to purchase a subscription. Meanwhile, keep those feature requests and bug reports coming.

Please pass on the free trial link https://app.prettygraph.com to as many people as you think would find it useful.

Heatmaps added to Pretty Graph

By Hrishi Mittal | | Posted under Graphs, Pretty Graph | Comments (1)

Tags: features, heatmaps

After a lot of user requests, heatmaps have been finally added to Pretty Graph. You can now visualize multiple variables in a dataset using the heatmap option in our web-based data visualization application. An example is a correlation heatmap as shown below:

(Click to see the full graph with the scale)

Heatmaps are also a great way to visualize trends or hotspots in a large datasets, for example monthly sales data across various countries.

Currently, the heatmaps functionality works like this:

1. Load a data file and select heatmap as the graph type from the thumbnails on the right hand side control panel.

2. Choose a column containing row names (denoted by “Rows” in the control panel) and choose the columns of data you want to visualize.

3. Choose one of the many color schemes available (reds, blues, greens, purples etc. based on RColorBrewer).

4. The breakpoints between colors are chosen automatically (6 equally spaced values from min to max), but you can specify up to 10 custom breakpoints as comma separated values in the Breaks field.

Below is a screenshot of the heatmaps controls in Pretty Graph (click to enlarge):

What are you waiting for? Give it a try and tell us what you think. Please tell us what you like and dislike about it and what you would like us to add.