Recently made an online data analysis Web site with Django.

A small web site for online analysis was made with the recently-made claims applicant test data set.

Data structures, algorithms and other settings are stored in the JSON file. In the future to this little broken station expansion algorithm, just modify the JSON file on the line.

Of course, the result analysis still has to add the code. The page code is not affixed, after figuring out the Django View+model model, writing the program is still very simple.

Those shameless reptile sites, dare not mention the source?

Clustering algorithm results, for the continuity of variables I use the coefficient of variation (coefficient of variation), the discrete variable simple statistical records of the matrix composition.

Finally, the original data and classification results are combined into CSV to provide download, you can import tableau to do data visualization report.

The coefficient of variability is another statistic that measures the degree of variability of the observed values in the data. When comparing two or more data variations, if the unit of measure is the same as the average, you can compare it directly with the standard deviation. If the number of units and/or averages is not the same, the standard deviation can not be used to compare the degree of variation, and the ratio of the standard deviation to the average should be compared. The ratio of the standard deviation to the average is called the coefficient of variation, recorded as C· V. The coefficient of variation can eliminate the effect of different unit and/or average numbers on the degree of variability of two or more data.

Recently made an online data analysis Web site with Django.