Gephi for Network Visualisation (Hands-on)
Gephi is a software for visualisation and exploration of graphs and networks. This workshop will demonstrate with hands-on exercise on how to turn your data into network graphs to discover hidden message.
Participants may bring your own device with Gephi 0.9.2 (https://gephi.org/) and the plugins installed prior to the workshop.
Analysing Texts with Voyant Tools (Hands-on)
Voyant Tools is a web-based reading and analysis environment for digital texts. Join to learn how to use this online tool to analyse textual materials, no matter they are in text file or online.
Participants may bring your own device and use a browser to access http://www.voyant-tools.org/ and try out.
Data Cleaning with OpenRefine (Hands-on)
OpenRefine is a tool for cleaning messy data, transforming it between formats, and extending it with web services and external data. This workshop will introduce the principles and the practice of data cleaning through hands-on exercise with OpenRefine. The applications of the exported data will be discussed.
Participants have to bring your own device with OpenRefine 3.1 installed.
19 Feb (Tue) 10:30 a.m. – 12:00 p.m. Click to register
ArcGIS Basics for Digital Scholarship Projects (Hands-on)
ArcGIS is commonly used in digital scholarship projects for geospatial analysis. This workshop is an introductory hands-on session to demonstrate the basic functions of this software.
Only the 5 PCs in DS Lab has ArcGIS Pro for use.
Users may download the 21-days free trial from Esri for ArcGIS Pro (https://www.esri.com/en-us/arcgis/trial) software if your device fulfilled their system requirement (http://pro.arcgis.com/en/pro-app/get-started/arcgis-pro-system-requirements.htm).
Python for Beginners: Data Analysis and Visualisation (Hands-on)
Python is highly extensible programming language. Many pieces of functionality can be added but the core language still remains small and powerful and this contributes to its readability.
This workshop will introduce the programming language of Python with hands-on exercise on data extraction, analysis and visualisation.
Users are required to bring their own device with Anaconda (https://www.anaconda.com/download/) installed prior to the workshop.
21 Feb (Thu) 2:30 p.m. – 4:30 p.m. Click to register
Tableau - Visual Analytics Hands-on Workshop
Instructor: Tableau representative
Conducted by Tableau experts, the hands-on workshop will teach what you can benefit from Tableau on step-by-step data analysis with the software.
During this workshop, you will learn how to create an interactive dashboard from scratch and see how you can quickly visualize data and share insight with Tableau.
- Introduction to Visual Analytics
- Tableau Hands-on Workshop
- Connecting to data
- Creating your first visualization
- Analyzing data with different visualization type (E.g. Map, Time-series and Trend)
- Creating interactive dashboard
- Sharing and publishing your dashboard
- Tableau Academic Program
- This workshop will be conducted in English.
- Users are required to bring their own device with Tableau Desktop installed. Please go to https://www.tableau.com/products/desktop/download for trial version.
- Students can apply for Tableau for Academic License from https://www.tableau.com/academic/students#form.
- Instructors can apply for a free license at https://www.tableau.com/academic/teaching#form.
Introduction to R for Statistical Analysis
Invited speaker: Prof. CHAN Michael, Associate Professor, School of Journalism and Communication, The Chinese University of Hong Kong
R has become an increasingly popular tool for statistical analysis. This workshop is targeted at students and faculty who are already familiar with well-known statistical software like SPSS and STATA, and would like to learn about statistical analysis in the R environment.
This workshop will cover the basic tasks such as data import (e.g. SPSS, Excel, csv), descriptive and inferential statistics, and visualization of data.
Participants are required to bring their own device with the software (installation in sequence) R (https://www.r-project.org/) and RStudio (https://www.rstudio.com/) installed prior to the workshop.
29 Mar (Fri) 2:30 p.m. – 5:30 p.m. Click to register
Venue: Digital Scholarship Lab, G/F, University Library
Medium of Instruction: Cantonese (English might be used if users require.)