GitHub / d4rthm4ul / R-Cleaning-Exploration-Imputation-Visualization
This repository you are browsing contains intermediate level piece of codes which are useful for cleaning, exploratory analysis, handling of missing data points, outlier detection and different visualization techniques using graphics, ggplot2, tidycharts, ggExtra packages. Also in particular part of the script you can get basic information about SparkR package which is an R package that provides a light-weight frontend to use Apache Spark from R . Do not be shy to fork and make contribute.
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PURL: pkg:github/d4rthm4ul/R-Cleaning-Exploration-Imputation-Visualization
Stars: 0
Forks: 1
Open issues: 0
License: None
Language: R
Size: 116 KB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: about 4 years ago
Pushed at: about 4 years ago
Last synced at: over 2 years ago
Topics: apache-spark, cleaning-data, data, datascience, exploratory-data-analysis, ggextra, ggplot2, github, graphics, histogram, imputation, lolipop, outlier-detection, r, r-programming, scatter-plot, sparkr, tidycharts, tidyverse, visualization