Exploring Numeric Distributions
With an overview understanding about distribution analysis, let us actually perform those, starting with numerical data. Obviously, we will be using a mixture of Pandas and Matplotlib - a powerful…
Distribution Analysis
Sun Tzu once said "know your data, know your models, a hundred analyses, a hundred wins", or something along that line. See, people in the mediaeval times knew the importance…
Exploratory Analysis
At this point, we have obtained a good amount of understanding and hands-on about NumPy arrays and Pandas dataframes. We can now start some analysis. And, the first one that…
Merging Dataframes
While certainly useful in some cases, concatenating dataframes is fairly problematic because of its strict requirement on row orders. You may end up with wrong and meaningless results even with…
Concatenating Dataframes
Previously, we have discussed basic data concatenation with NumPy arrays. In Pandas, concatenating dataframes is also a thing, however with a few differences. The operation no longer requires equal shapes…