Daily Data Tracker

My fiancee and I got this app to track our weight (hopefully weight loss) leading up to our wedding. After I figured out how to change to lbs, we were off and running. Simple to enter data and get a nice graph. Wish list- hopefully in future updates, the app will work in the horizontal mode. Currently only reads vertically. This would dramatically help with long period graphs. Would also like to see a way to see weekly, monthly, yearly on the graphs. These are minor items however as the app works great for us.

I needed a simple, daily data tracker. I wanted to create ongoing data sets and then produce simple graphs to export. This app does just that, exactly as described. I like some of the other basic features, too, like a reminder function to alert me to record my data once a day. I have used complex statistical programs and databases like SPSS and others; if you are looking for complex data mapping apps, this is not what you need. However, if you need a simple daily data point tracking app, this has what you need. I suspect that the negative reviewers either (1) wanted an app that performs a variety of other functions or (2) did not really want an app that simply tracks one or more data sets at regular intervals. That speaks more to user error than any failure of this app. I’m pleased with the app’s design and functionality and highly recommend it if you want a straightforward method for tracking simple data sets over time.

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There is literally no point of this app....

Simple to use, elegant presentation with a graph that grows daily as you record your progress. Wonderful for weight loss tracking, or jogging pace, jogging distance, mutual fund balance, anything you want to measure on a daily basis and see on a 2D chart. The first improvement I anticipate will be a toggle between Kg and lb for data entry and presentation. For now I just convert before entering data. Marvelous application!

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Very annoying. Data are not plotted as x,y points. Rather the value of x is essentially its ordinal value in the data set so that the position along the x axis (the value of x) has nothing to do with the actual value of x. For example the distance between consecutive data points corresponding to May 1, 2010 and May 2, 2010 and the distance between consecutive data points for May 2, 2010 and Aug 1, 2010 are the same despite the difference in time interval. I don't recommend this app.