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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.

R 100.00%
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

r-cleaning-exploration-imputation-visualization's Introduction

Hi there, dear colleagues. I'm Ulvi Salman👋.

I'm a Professional Data Scientist💪.

  • 🔭 I’m currently working for PASHA Insurance OJSC!
  • 🌱 I’m presently learning and applying machine learning and deep learning methods.
  • 👬 I’m looking to collaborate with other developers.
  • 🥅 Main goal of 2022: Contribute more to Open Source projects.

Languages and data science tools:

Visual Studio Code

HTML5

SQL

MySQL

MongoDB

Git

GitHub


Connect with me:

codeSTACKr | LinkedIn codeSTACKr | Facebook codeSTACKr | Twitter

Ulvi Salman's GitHub stats:











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