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About
About
- What's on
Exploratory data analysis (EDA) is a highly recommended procedure that allows you to gain preliminary insight into your data and inform subsequent data analysis processes. Learn how to use Tableau, the world's leading data visualisation software, to conduct
EDA to better see and understand your data! No coding required.
The Data Insights series is designed to equip you with the vital skills to harness the power of data effectively. From the initial stages of data discovery and finding to the final phases of data visualisation, each workshop addresses key components crucial for extracting meaningful insights from raw datasets.
Other workshops in the Data Insights Series:
❒ Part 1: Research Data Needs & Data Discovery
❒ Part 2: Data Preparation
❒ Part 4: Statistical Resources & Tools
❒ Part 5: Visualisation Techniques
The Data Insights series is designed to equip you with the vital skills to harness the power of data effectively. From the initial stages of data discovery and finding to the final phases of data visualisation, each workshop addresses key components crucial for extracting meaningful insights from raw datasets.
Other workshops in the Data Insights Series:
❒ Part 1: Research Data Needs & Data Discovery
❒ Part 2: Data Preparation
❒ Part 4: Statistical Resources & Tools
❒ Part 5: Visualisation Techniques
Learn
- The basics of exploratory data analysis
- To load data into Tableau to generate dynamic visualisations and create interactive dashboards
Speakers
Lyndia Chen
Librarian (Research Librarian – HASS)
Lyndia conducts workshops and advisories on social science research. She also works with immersive technology as part of the library’s TEL Imaginarium team. When in her element, she is fascinated by geeky tech, neon lights, all things new, and finds humour or cats in the strangest of things.
Michelle Quak
Librarian (Digital Scholarship)
With a background in environmental geography and experience in urban planning, Michelle is interested in the different ways of applying geospatial techniques across various disciplines. She enjoys speaking with students and researchers about their projects and helping them with geospatial/data visualisation enquires. She also loves classical music, reading, and hiking.
Preparation for Participants
- Please download and install the Tableau Public into your laptop and bring it to the workshop session.
Access to the dataset will be provided during the hands-on workshop. Contact Michelle for any queries.
All NUS staff and students are welcome.
Booking availability on a first come, first served basis.
For help with Digital Scholarship
For general enquiries
Disclaimer
All information provided on the presentations is on an “as is” basis and you agree that you use such information entirely at your own risk. NUS Libraries does not in any way, expressly or implicitly, endorse any third party products, processes
or services.
NUS Libraries prohibits the use of presentation slides without permission.
NUS Libraries prohibits the use of presentation slides without permission.
Terms & Conditions
By registering for this event, you hereby consent to National University of Singapore (NUS) collecting, using, retaining and/or disclosing your personal data to certain approved third parties for the purpose of processing, handling and managing your
participation in the event.
