data sceince cycle

problem formulation

looking at data set and find questions or patterns to investigate

getting the data

using comma seperated values files in python can be imported in to pandas dataframes. cleaning data finds and fixes missing or outlier data

exploring data

the use of describe() to explore data and exploration through prints and graphing such as box plots, through grouping data to calculate averages, changing data types to helps interpret fields e.g. from numerical to categorical

analysing the data

assocatiation means the values of one variable are linked in some way to the values of another. combining describe with the creation of scatter diagrams enables the discovery of answers to questions

catplot

compares categories

displot

compares distribution

csv file

plain text files, the values in each row are separated by commas, and each row is ended by a line break .comma seperated values

relplot

creates and compares scatterplots based on two features to identify accosiation

groupby

compares different features

catplot charts

box plot, strip plot, violin plot

displot

histograms