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One of the first things you need to do is to get to know your data. Some people call this initial data exploration, shaking hands with your data, or dating your data.
One of the first things you need to do is to get to know your data. Some people call this initial data exploration, shaking hands with your data, or dating your data.
Regardless of what you call it, get a sense of the characteristics of the information you have BEFORE you start doing any modeling or analysis is absolutely imperative.
Regardless of what you call it, get a sense of the characteristics of the information you have BEFORE you start doing any modeling or analysis is absolutely imperative.
Doing this will ensure that you are conducting the analyses that match the characteristics of your data, but will also help you head-off any data issues you might have BEFORE you are knee (or neck) deep in analyses and you are drawing incorrect conclusions because you did not get to know your data BEFORE you started your analyses.
Doing this will ensure that you are conducting the analyses that match the characteristics of your data, but will also help you head-off any data issues you might have BEFORE you are knee (or neck) deep in analyses and you are drawing incorrect conclusions because you did not get to know your data BEFORE you started your analyses.
Exploratory Data Analysis (EDA)- Manny Gimond (2020)
Exploratory Data Analysis (EDA)- Manny Gimond (2020)
skimr package
skimr package
Designed to provide summary statistics about variables in data frames, tibbles, data tables and vectors.
Designed to provide summary statistics about variables in data frames, tibbles, data tables and vectors.
skimr is designed to provide summary statistics about variables in data frames, tibbles, data tables and vectors. It is opinionated in its defaults, but easy to modify.
skimr is designed to provide summary statistics about variables in data frames, tibbles, data tables and vectors. It is opinionated in its defaults, but easy to modify.
Business Science: skimr: quickly profile data in R (6:58)
Business Science: skimr: quickly profile data in R (6:58)
DataCamp: R Tutorial: Know your data (4:44)
DataCamp: R Tutorial: Know your data (4:44)
janitor package
janitor package
Designed to provide frequency tables and help to clean up your variable names in a data frame.
Designed to provide frequency tables and help to clean up your variable names in a data frame.
R Programming: Janitor in R | Data Cleaning | Tabulation and Reporting in R| Format Column Names| Get Duplicates (6:58)
R Programming: Janitor in R | Data Cleaning | Tabulation and Reporting in R| Format Column Names| Get Duplicates (6:58)
R Programming: R programming : Introduction to Janitor Package | tabyl() fuction (13:22)
R Programming: R programming : Introduction to Janitor Package | tabyl() fuction (13:22)
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