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1) Summary of analysis 2) Removal of redundant comments in hn_plots 3) Aof comments and commenting out redundant elements in main 4) Upload of data for analysis 5) Upload of plots 6) Removal of redundant SQL queries in stack_queries 7) Change of the name of the code preprocessing data from Hacker News to "kaggle_data" 8) Changes in README file in the folder "codes"
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List of used codes | ||
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1) kaggle_data_20180414_1511.py - code for obtaining data from Kaggle | ||
1) kaggle_data.py - code for obtaining data from Kaggle | ||
2) stack_queries.sql - queries to obtain data from StackOverflow; since Data Explorer allows to return only 50 thousand rows at once, queries had to be divided | ||
3) 00_main.py - main code in Python wrangling data and producing plots | ||
4) hn_plots.py - function to plot time series | ||
4) hn_plots.py - function to plot time series | ||
5) sel_data_min_date - returns a data set with excluded lacks of data. Observations with zeroes as values before the first observation with nonzero values are considered lacks of data | ||
6) grangercausalitytests_mod - modified Granger causality test; does not take into consideration observations for the potential cause from period "t" (period which is forecasted OLS model) | ||
7) diff_nonstationary - function to differentiate nonstationary time series | ||
8) calc_granger_causality - conducts Granger causality test for two variables in groups | ||
9) useful - useful functions from the web |
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