dcs-training Goto Github PK
Name: Centre for Data, Culture, and Society
Type: Organization
Twitter: EdCDCS
Location: Edinburgh
Name: Centre for Data, Culture, and Society
Type: Organization
Twitter: EdCDCS
Location: Edinburgh
Go to https://dcs-training.github.io/2023-10-22-Carpentry-Social-Science/ to follow along the material
This repo contains the material produced for a course run by the Centre in November 2024
This repo contains self-learn material to familiarise with Autocad. Go to the readme file
Materials for the CDCS Introduction to Bayesian Statistics course. Go to the readme file
This is a repository for the Beyond Social Networks: Advanced Uses of Gephi in Humanities Research course provided by Brian Wong for the CDCS. Within the repository there are files with sample datasets and a guide to building datasets. It will be updated before each section. Go to the Readme file
2021 Text and Data Analysis Summer School
Course notes for the xml course
Materials for the workshop "Creating custom data visualizations with Observable notebooks & D3". Go to the readme file
Data Science in the Wild course (delivered by the CDCS in 2022). This course is aimed at developing the skills to scope and implement preliminary data analysis at the early stages of a data science project. Go to the readme file
The material in this repository was presented on a workshop 19/02/21 The material cover the basics of producing good spatial data visualisation. This seminar introduced some basic techniques and focused useful tips for when you are trying to present your data visually
Introduction to analyzing structured data with the Python libraries pandas, for CSV and TSV data, and ElementTree, for XML data. Go to the readme file
Data Visualisation with R Workshop (delivered by the Centre in December 2020). This workshop is focusing on visualising your data. Go to the readme file
Data Visualisation with R Course (delivered by the Centre in October/November 2021). This workshop is focusing on good practice of creating graphs with R and R Studio. Go to the readme file
In here you can find material on cluster analysis, data wrangling, and network analysis. Go to the readme file for more info
Content of the 3rd day of the 2021 DHRSE summer school focusing on good data visualisation
Welcome to the repository of the DH RSE Summer School 2024. Here you will find all materials relating to the Summer School held in Edinburgh, UK. Go to the readme file
In this repository you are going to find the documents we produced to support the discussion in our Digital Methods of the Month. These documents will help you orienting yourself if you want to pickup the method in your research. Go to the readme file
Examples on how to use Autocad for digital drawing
This repository hosts the material connected to a training course developed by Dave Elsmore (Edina) for CDCS on good data visualisation. Go to the readme file
This two-hour workshop will teach you how to follow an exploratory data analysis pipeline with Observable Plot, a new JavaScript library based on the Grammar of Graphics, that proposes a simple yet expressive interface to create powerful graphics easily shareable on the web. Go to the Readme file
Comfortable/aware of how to run your stats in SPSS? Curious to learn how to run them in R? You've come to the right place. Go to the readme file
This tutorial on Text Analysis was developed for CDCS by Dave Elsmore (Edina). This workshop uses the programming language Python to perform some common text analysis tasks. Please go to the Readme file for more information
Our guide on how we create data visualisations through R. Go to the readme file
This workshop will give you an overview of text extraction and how Optical Character Recognition (OCR) works in practice, how you can plan your projects, and what potential challenges you might face. Go to the readme file
This workshop will help you create your own reproducible, customisable, and interactive analysis reports through R Markdown. By building on the basics of R, we will show you how to instantly prepare your results into a ready-made document (No more copy and pasting your results! Less human error!). Go to the readme file
Materials for the workshop "Making Interactive Web Maps: Finding the Right Tool for You" (15 Feb 2024, 10:00 – 12:00). Go to the readme file
Intro to Statistics workshop. In this repo, you are going to find the code and files we are going to use for the practical part of the workshop, together with the ppt associated with this training. Go to the readme file
This is a repository for the Introduction to Causal Inference course provided by Chris Oldnall for the CDCS. Go to the readme file
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.