Research Data MANTRA - Software Practicals

Data handling tutorials

Data handling in Python 3

Python tutorial, August 2024, authored by Cerys Jenkins, University of Edinburgh.

Python Practical Exercise - Introduction [HTML]

Python - Exercise 1 [HTML] - Basic Operations in Python

Python - Exercise 2 [HTML] - Data Cleaning and Preprocessing

Python - Exercise 3 [HTML] - Data Transformation

Python - Exercise 4 [HTML] - Data Visualization and Plotting

Data files for Python tutorials [CSV] (21.5 KB)

Data handling in R

R tutorial, July 2024, authored by Cerys Jenkins, University of Edinburgh.

R Practical Exercise - Introduction [HTML]

R - Exercise 1 [HTML] - RStudio Navigation and Project Setup

R - Exercise 2 [HTML] - Data Cleaning and Preprocessing

R - Exercise 3 [HTML] - Data Transformation

R - Exercise 4 [HTML] - Data Visualization and Plotting

Data file for R tutorials [CSV] (21.5 KB)

Data handling in SPSS 29

SPSS tutorial, November 2024, authored by Dr Bob Sanders, University of Edinburgh.

Workbook: Handling data using SPSS [PDF] (48 pages)

The course covers:

Finding and opening data
Describing and documenting data
Exploring and describing variables
Common data management tasks (e.g. recoding variables, deriving new variables)
Data linkage

Zipped data file and example folder structure (87.4 KB expands to 1.41 MB unzipped)

Data handling in ArcGIS Pro 3.3/3.4

ArcGIS tutorial, October 2024, authored by Katie Self, EDINA.

Complete ArcGIS Pro tutorials [PDF] (36 pages)

The course covers:

Setting Up a New Project and Importing to a Geodatabase
Query Data, Derive New Datasets and Perform Multi-Criteria Analysis
Organising and Styling a Map
Creating a Metadata Record for Our Output
Sharing and Exporting

Zipped data files for ArcGIS Pro tutorials (6.74 MB expands to 29.9 MB unzipped)

The University of Edinburgh

Research Data Service