When you’ve searched Google for a book, has Google ever suggested, “Go to your local library”?
Imagining this is the book you are looking for. You typed the name in and the result is like this:
But none of these results will tell you that your Library already has it!
Part of that is on us, librarians: we haven’t opened our data and we are working on that. But it’s also because we (libraries) don’t pay Google to promote us. No one really knows Google’s algorithm, so it is hard to guess what sources it isn’t showing you
On November 19, the Library will host an online workshop on creating a business intelligence dashboard with the help of R Shiny and RSQLite. Participants will make an application that resembles this dashboard.
Using RSQLite and Shiny Applications to Solve Business Problems (Online Workshop)
Thursday, 19 November 8:00 AM – 9:30 AM (China Standard Time)
Next week(11/9-11/15), join us for two lunchtime online workshops:
- Introduction to QGIS (Online Workshop)
Tuesday, 10 November 12:00 PM – 1:30 PM (China Standard Time)
QGIS is an open source software package for geospatial analysis. This introductory workshop covers simple GIS analyses and visualizations within QGIS.
This workshop will be held live via Zoom, so you can attend from the comfort of your dorm or apartment. You must register in advance through the NYU Libcal page (https://nyu.libcal.com/event/7128671).
- Data Cleaning and Management Using Python (Online Workshop)
Thursday, 12 November 10 AM – 12 PM (China Standard Time)
This session is an intermediate level class that will examine ways to perform data cleaning, transformation, and management using Python. We will look at some efficient ways to load data and parse it into a container for ease of use in Python, to store it in helpful formats, and to perform some basic cleaning and transformations typical for mixed string-and-numeric formats. Finally, we’ll try putting it all together using a dataset from the NYC Open Data portal.
- Ability to set and understand the object type of a variable
- Familiarity with foundational object types (lists, strings, numbers, dictionaries) in Python
- Familiarity with common data storage file types such as JSON and CSV
- Comfort with, or willingness to learn more about dataframe and array objects in Python
- Comfort with using Jupyter Notebooks for writing code
This workshop will be held live via Zoom, so you can attend from the comfort of your dorm or apartment. You must register in advance through the NYU Libcal page (https://nyu.libcal.com/event/7096100).
I hope you’ll be able to join us!
Come and check out the NYUSH-Library-hosted event. Meet friends, familiarize yourself with the Library, and HAVE A GOOD TIME!
Join us in the following activities:
- Board Games
- Soothing documentaries
- Questions and prizes
- Message board
Thinking about using COVID-19 data or statistics in your course and research projects? The library would like to recommend two resources we found useful. These resources are admittedly U.S. centric, but we think the skills and perspectives are widely applicable.