data-reshaping

Tools for reshaping text data

Make a DocumentTermMatrix faster

Reshape disorganised messy data

Course materials for CDS 101: Introduction to Computational and Data Sciences, offered at George Mason University

This is the 4th or final course of "Importing & Cleaning Data with Python", SKILL TRACK of Data Camp.

This repository contains essential guides for data analysis using R, covering topics like data preparation, data reshaping, and data visualization. Each file focuses on fundamental techniques to manipulate, clean, and visualize data effectively using R programming.

This repository contains experiments on data wrangling techniques, focusing on methods for handling missing values, filtering, aggregation, and more.

R script drawing kernel-density distribution curves of bathymetric depths, grouped by tectonic plate and by cross-section profile, via data.table melt reshaping and ggplot2 geom_density. Mariana Trench; density analysis in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

Exploratory Data Analysis of Global Emissions and Temperature Change Using R and Tidyverse

Data Wangling with Python

Python/Seaborn script drawing hexbin and bivariate KDE joint plots (with a pandas wide-to-long melt), demonstrated on Mariana Trench bathymetry. Reusable scientific-plotting example.

R script drawing a category-wise stacked bar chart of depth observation-point counts per bathymetric profile, coloured by tectonic plate, via data.table melt reshaping and ggplot2 geom_bar (ColorBrewer RdBu). Mariana Trench; Fig. 12 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

Reshaping data with Power Query — pivot and unpivot transformations on several datasets (student performance, double-header tables) to switch between wide and long formats.

Data associated with properties (real estate) rom heterogenous sources is integrated to get a sense of the information as a whole.

Integration of 7 different datasets in various formats about housing information in Victoria, Australia. And study the effect of different normalization/transformation methods

This repository offers comprehensive projects on business analytics using Python, including big data analysis, data cleaning, importing/exporting, integration, quality assurance, time series analysis, EDA with Tableau, forecasting, regression, and sentiment analysis. Ideal for both beginners and experts.

R scripts drawing violin plots (mirrored kernel-density estimates hybridised with box plots) of bathymetric depth distributions across trench profiles, via ggplot2 geom_violin with quantile lines and count scaling and data.table wide-to-long reshaping. Mariana Trench; Lemenkova (2018), Turkish J. Maritime and Marine Sciences 4(2):146-155.