Universe of Data Science

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[Universe of Data Science @unidatascience]

Universe of Data Science is an education platform for data science. We provide short tutorials related to data science by implementing the application of data science using various tools. You can follow us on our youtube channel.

🔗 https://t.co/71C07OSz6m

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[Universe of Data Science @unidatascience]

Cleaning data is one of the most essential parts in data analysis. In this video, we learn how to clean the variable names, remove empty rows and columns, and remove duplicate rows.

🔗 https://t.co/UR3CuDiciX

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[Universe of Data Science @unidatascience]

In this tutorial, you’ll learn how to export or write data from R or RStudio to .txt (text file), .csv (comma-separated values) and .xlsx (excel) file formats.

🔗 https://t.co/iNqOz6iJGy

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[Universe of Data Science @unidatascience]

R is capable of importing data from different file types. Reading data from .txt, .csv, .xlsx file types is the most popular way. We go through importing data into R from these file types in detail.

🔗 https://t.co/4uTyg4tqON

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[Universe of Data Science @unidatascience]

The dce-GMDH type neural network algorithm is a heuristic self-organizing algorithm to assemble the well-known classifiers. Find out how to apply dce-GMDH algorithm for binary classification in R.

🔗 https://t.co/i8Wdvt3tje

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[Universe of Data Science @unidatascience]

Creating dummy variables is a point not to be missed while working on nominal variables. This comphrehensive tutorial includes necessary steps to make dummy variables based on variables class in R data frame.

🔗 https://t.co/tC4z7Croji

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[Universe of Data Science @unidatascience]

It is important to create dummy variables when working on categorical variables where there is no ordered relationship. This ultimate tutorial includes necessary steps to make dummy variables in R.

🔗 https://t.co/HR9e7oYfpO

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[Universe of Data Science @unidatascience]

R packages are not generally compatible across upgrades and must be reinstalled after updating R. This tutorial covers the reinstallation steps of available R packages. Find out how to reinstall all packages after updating R.

🔗 https://t.co/Dj8D527UJe

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[Universe of Data Science @unidatascience]

R is a free software environment made up of many user-written packages. In this tutorial, we work on how to get a list of installed packages, the package versions, the place of packages in R.

🔗 https://t.co/5QQ8jev9rF

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[Universe of Data Science @unidatascience]

It is very difficult to have complete data while making data analysis in practice. In this tutorial, we learn simple missing imputation techniques – mean, median, mode. Find out how to impute missing data in R.

🔗 https://t.co/yY1Y2WNNeJ

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[Universe of Data Science @unidatascience]

Finding unique values may be a necessity while analyzing a data set. In this tutorial, we will learn four ways of finding unique values. Find out how to find unique values in R.

🔗 https://t.co/YmRphTRc1Y

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[Universe of Data Science @unidatascience]

The use of apply functions enables data scientists to make the things easier. In this tutorial, we go over apply, tapply, lapply, sapply, vapply and mapply. Find out how to use apply functions in R.

🔗 https://t.co/VKurrRrvYc

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[Universe of Data Science @unidatascience]

Sometimes, we need to merge datasets coming from different sources. This ultimate tutorial includes combining the data frames in different ways. Find out how to merge data frames in R.

🔗 https://t.co/D5hmR3PXKY

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[Universe of Data Science @unidatascience]

Converting data type to numeric is important while analyzing the data in R. In this tutorial, we will learn three ways of converting the colums of data frame to numeric.

🔗 https://t.co/LcZm1GZ6nL

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[Universe of Data Science @unidatascience]

Class of a variable is important while analyzing the data in R. This ultimate tutorial includes three ways of discovering the class of each column in data frame. Find out how to obtain class of each column in R data frame.

🔗 https://t.co/vGbDeDPDiN

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[Universe of Data Science @unidatascience]

Sorting data may be a necessity while dealing with a data set. In this tutorial, we will learn how to sort a data frame by a single column and multiple columns in an increasing or decreasing order.

🔗 https://t.co/t3el2V2wwL

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[Universe of Data Science @unidatascience]

Sometimes we need to remove outliers from data. In this tutorial, we learn how to remove outliers from data including multi-variables, a single variable and data by group in R. Find out how to remove outliers from data in R.

🔗 https://t.co/cOV1jfi3Pt

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[Universe of Data Science @unidatascience]

Identifying outliers is essential part while analyzing data since they significantly affect a statistical model. This tutorial covers four tests for detection of outliers. Find out how to test for identifying outliers in R.

🔗 https://t.co/3ymwCq7iD7

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[Universe of Data Science @unidatascience]

Correlation analysis is the important statistical procedure to investigate the relation among the variables. This ultimate guide covers different correlation coefficients and tests for their significance.

🔗 https://t.co/L2fpqLSbkN

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[Universe of Data Science @unidatascience]

One-way ANOVA is the statistical procedure to test the equality of k independent population means. This comherensive tutorial includes Box-Cox transformation for non-normal and heteroscedastic data to use one-way ANOVA.

🔗 https://t.co/4CQ7XTPrAC

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[Universe of Data Science @unidatascience]

Sometimes, there may exist multimodal data while analyzing data. This ultimate tutorial includes detection of multimodal data. Find out how to determine whether data are unimodal or multimodal in R.

🔗 https://t.co/m4fcqaSwHS

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