zachkim-fromkorea Goto Github PK

data-cleaning-and-eda-prior-to-constructing-linear-model

Simply upload the file "EDA_for Linear Model.R" using source() function which will result in 6 new functions (1) lm.eda (2) categorical.var (3) numeric.var (4) outlier (5) skewness (6) kurtosis

data_engineering_yonsei

data_engineering_fall_2019

ds_yonsei

2019 Spring Introduction to Data Science

election

제21회 국회의원선거 - 2020

facebook-scraper-selenium

model

데이터 과학 모형

numpy_pandas_basic

sociallistening-be

Build a tool to set up Marketing campaigns on a product line or service pack. This tool automatically collects comments from Facebook fan pages and groups according to each campaign. The collected data is analyzed and used to predict the positive and negative feedback from users about these products/services.

statkclee.github.io

Data Science Blog

survey-response-visualization

File above is for R users who wish to visualize survey responses. Simply upload the file "Survey Data Visualization.R" using source() function which will give you 3 new functions Functions include; 1) pieChart(data) : Draw PieChart 2) stackedBarPlot(data) : Draw stacked BarPlot 3) choicePct(data) : Calculate percentages for each choices - Objects inside the parenthesis are parameters needed for the functions to work. - It is crucial that you encode survey choices as ordered factor. Otherwise the charts above will display choices in an alphabetical order. - It is advised you have some understanding of the "ggplot2" as functions above harnesses on the package. Hope you enjoy using the functions above. Should there be any questions or suggestions don't hesitate please contact me by [email protected]. Thank you