Litepoint makes test equipment for the wireless industry. Basically, our equipment makes sure that your phone or laptop has the internet connection you're using right now. As you can imagine, our equipment produces a large amount of test data, which obviously needs to be stored, analyzed, and then processed in a way so as to extract knowledge from it. The data may at first glance seem a bit unsexy, but we use the newest devices often before they're even released, so under the surface it contains all sorts of hidden relationships just waiting to be discovered. At the bottom of this paragraph you'll find a link to the dataset from our labs. The dataset is real but has been obfuscated and cleansed a bit. There are tests from more than 300,000 devices over a period of 1 month, each device has almost 900 tests each. So you'll find more than a quarter billion numbers in the csv file. Numbers that can be visualized in many ways. A quick intro to test data; some tests will have limits, either upper, lower, or both. The test result has to be within these limits to pass the test, if there are no limits the test is passed by default. The percentage of devices that pass all tests is called the yield and the station is the physical location where the device actually gets tested. So what can be done with the data? Well we typically calculate yield over station and over time, we also create fail paretos, again we also typically do it over stations and time. We also make simple graphs and statistics over each test. This could for instance be histograms, line charts over time, scatter plots for comparison, etc. Our intent with this challenge is purely exploratory, meaning that you're free to explore relationships in the data as you please! Here's a link to the dataset: https://iqr1.litepoint.com/LitePointDataset.zip