2. FacetGrid - mapping a plot type and separating the results based on the column names (the variables you want to play around with) eg row 1 represents smokers, row 2 represents non-smokers, and 1st column represents time=Lunch, 2nd column represents time=Dinner

For FacetGrid, pass in the arguments according to the plot type. https://t.co/aUxEIIa3ue(plot_type, arguments_needed_for_the_plot_type) Eg for scatterplot, 2 arguments needed:

#Day12 of #DataAnalytics #Matplotlib Creating figures through object-oriented method: create an empty canvas, then just call methods or attributes off of that object. - plt.figure() - plt.subplot(nrows=,ncols=)

#Day13 of #DataAnalytics #Seaborns another visualization tool, a popular statistical library. - .load_dataset() for built-in datasets - .distplot() shows a histogram/distribution of univariate data - .jointplot(x='', y='', data=, kind=) to match 2 distplots for bivariate data

#Day15 of #DataAnalytics #Seaborns Categorical data: - stripplot (scatterplot, but points are stacked tgt. To separate it: jitter=True) - swarmplot (similar to stripplot, but points are adjusted such that they don't overlap, and in the shape of violin. *can be combined tgt)

#Day15 of #DataAnalytics #Seaborns Place data in matrix form by .pivot_table() .heatmap to plot data in color-encoded matrices. annot=True for annotation of the values to be presented on the grid. cmap to change color variation VS .clustermap data grouped based on similarity

#Day16 of #DataAnalytics #Seaborns Grids are general types of plots that allow you to map plot types to rows and columns of a grid 1. PairGrid: similar to pairplot for plotting pairwise r/s but has more control over customisability of specific plots

#Day14 of #DataAnalytics #Seaborns kdeplot - kernel density estimation. Idea is to replace each data point (represented by dashmark in rugplot) with a small Gaussian (Normal) distribution centered around that value, then summing the Gaussians for smooth estimate of the distributi

@codingboo Keep pushing yourself

@codingboo Keep improving

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