r
From Relational to Graph Database (Neo4j)
From PostgreSQL to Neo4j Database We're going to explore how we can convert relational tabular data to graph data. We will look at two different databases from two different types.…
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Data Processing (in Parallel) at Command Line
Importing & Cleaning Data (in Parallel) with Command Line Importing data from APIs sometimes isn't easy especially when we want to import so much data, as we'll have to make…
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Network Visualization with R
Visualizing Networks using different R packages (igraph, visNetwork, ggnet2) The data is taken from DVD Rental database which consists of three columns: customer name, number of rentals each customer rented…
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Clustering with R
Building a clustering algorithm model in R We will use "Wholesale customers data.csv" at https://archive.ics.uci.edu/ml/machine-learning-databases/00292/ to perform Hierarchical and Kmeans Clustering using R. Github link for the project and data: https://github.com/MNoorFawi/clustering-with-R First we load the data…
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Handling Big Files with R
Manipulating Large Data with R Handling large data files with R using chunked and data.table packages. Here we are going to explore how can we read manipulate and analyse large…
Read moreLarge Data Processing at the Command Line
Processing Large Data using compression, data.table and the command line here we are going to see different ways for processing big data using R and command line Github Link: https://github.com/MNoorFawi/large-data-processing-with-command-line…
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Drawing Maps with R
Using R to draw and visualize data on maps with different libraries. Github link: https://github.com/MNoorFawi/drawing-maps-with-r ggmap suppressMessages(library(caret)) suppressMessages(library(dplyr)) suppressMessages(library(ggmap)) data("Sacramento") ## stamen map scrmnt <- c(left = min(Sacramento$longitude), bottom =…
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Model Comparison with R
Model Comparison finding a good model isn't always the main problem, sometimes there're other models that can give better results or we already have many. so comparing models is of…
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Non-Linear Regression with R
Solving NonLinear Problems with R linear regression is such a great method to predict a variable measurement based on other variables. but not always the relationship between the variables in…
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Linear Regression with R and Caret
HousePrice Prediction using R Fitting a linear model using R's caret package to predict house prices Github Link: https://github.com/MNoorFawi/linear-Regression-with-R-and-caret we first load the train data and the test data without…
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