Events tagged with Data CoP

Tuesday, November 19, 2019 — 12:00 PM to 1:00 PM EST

In past Data Tuesday talks, we have heard good ideas about how we can gather and clean data. In this session, Lathangi Ganesharatnam, will demonstrate  how we can visualize and understand the trends or patterns in data using bar, pie, and line charts—​without any programming knowledge.

If time permits, we will have a brief introduction to Google Analytics.

Tuesday, May 21, 2019 — 12:00 PM to 1:00 PM EDT

The largest collection in UWSpace, the Library-hosted repository of Waterloo research, is the university’s ever-growing collection of electronic theses and dissertations. As these are added to the collection by their authors—not library staff—their metadata are of varying quality, and the subject keyword vocabulary is uncontrolled.

Tuesday, February 19, 2019 — 12:00 PM to 1:00 PM EST

At some point during an average working day, you will probably have to take data from one place and put it in another. Maybe you’ve got a report from somewhere else on campus in PDF format that has important figures you need to put into a spreadsheet, or into a Word report.

Tuesday, November 20, 2018 — 12:00 PM to 1:00 PM EST

Leave your pretty GUIs at home, kids! Graham Faulkner is going off-road data wrangling, with only a few Python tools and his native wit to survive. Watch him:

  • create fake data with csvfaker
  • create a database from CSV with his bare hands (and csvs-to-sqlite)
  • review data in the browser with Datasette
  • extract tabular data from PDFs with Camelot

We’re not in Excel now, Toto! This is one you won’t want to miss.

Tuesday, October 16, 2018 — 12:00 PM to 1:00 PM EDT

Search, manipulate and transform any bibliographic data set instantly!

Have you ever needed to:

Tuesday, September 18, 2018 — 12:00 PM to 1:00 PM EDT

Have you ever had to deal with a large amount of data, and found that Excel just cannot do the job? Have you ever wondered how to talk to a database to extract the information that you need? Come out and learn some basic SQL codes. It will make your life easier in the future! Presented by Eva Ma.

No prior knowledge or experience with databases or programming languages required.

Tuesday, July 17, 2018 — 12:00 PM to 1:00 PM EDT

Have you ever thrown together some data in Excel, told it to make a bar chart, and didn't like the results? Or looked at a visualization in a presentation and couldn't understand what the presenter was trying to communicate?

Jenny Hirst will be taking a look at some mistakes that are commonly made when presenting data, and showing you how to fix them — all the while making your visualizations look better and more professional with some easy tips and tricks!

Tuesday, June 19, 2018 — 12:00 PM to 1:00 PM EDT

Have you heard increasing references to ‘data science’ about campus?  Arcana such as ‘data notebooks’ and ‘APIs’ dropped into conversations?  Weird mention of animals like pythons and pandas?  If you fancy a non-threatening peek at a few basic data science tools in the Python ecosystem, or you just need to give the old eyeballs a break from the Excel grind, come and eat your lunch with us. Presented by Jonathan Sutherland.

Tuesday, May 15, 2018 — 12:00 PM to 1:00 PM EDT

A computer can help people do work, but not if they don't let it. There are many common ways that people get in the way of the help that a computer could give them. One cause is lack of trust: people don't always trust a computer to do the work correctly, so they'd rather do it manually. Another cause is lack of training. They naturally think and work like human beings and not like computers, and they aren't taught how computers' capabilities are different from theirs.

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  1. 2019 (79)
  2. 2018 (99)