Two-dimensional histograms help to visualize two-dimensional points by dividing them among two-dimensional bins. hist2d:

Error bars can be used to represent the variability of data and indicate the error or uncertanty in a reported measureme

Legend gives a lot of meaning to a visualization, offers explanation for the various plot elements. %matplotlib inline i

K-Nearest Neighbors (short as KNN) is a neighbor-based learning method that can be used for interpolation, in this case

Thiessen polygon, also called Voronoi diagram, is a partition of a plane into regions close to each of a given set of ob

GeoPandas offers several datasets in GeoDataFrame format, which could be good examples for working with spatial vector d

One of the common GIS task is to find the nearest neighbor by given several candidates, in real life a typical question

Sharpe RatioIt is virtually impossible to increase return without also increasing risk, therefore it shall exist a trade

Capital Asset Pricing Model (CAPM)CAPM is one of the most commonly used formula in finance, which describes the relation

Quantitative Value StrategyQuantitative value intestment means invest in the stocks that are “cheapest” relative to comm

Quantitative Momentum StrategyQuantitative Momentum is an investment strategy which selects for investment the stocks wh

Load the list of S&P 600 companies from WikepediaThe S&P 600 is an index of small-cap company stocks created by