Computer #1 in the Digital Scholarship Hub 2 has a Mac operating system set up for data analysis and text analysis. See full software list to confirm needed software is installed before booking.
Suggested Use: data analysis, text analysis
Technical Specifications:
System: | Mac mini (2018) |
Processor: | 3.2 GHz 6-core Intel Core i7 |
RAM: | 32 GB 2667 MHz DDR4 |
Memory: | 256 GB |
GPU: | Intel UHD Graphics 630 1536 MB |
OS: | MacOS Monterey version 12.1 |
slots: | 3 usb-c slots, headphone output |
Additional equipment available:
Scanner
Wacom Tablet
Software:
Software | Version | Use |
Adobe Creative Suite | 2020 | audio editing, videography, photo editing, graphical design |
Anaconda (Python) | 2021.11 | quantitative analysis, NLP, data gathering, data visualization, data cleaning, data programming |
Audacity | 3.1.2 | audio editing |
Camtasia | 2021 | screen recording, videography |
Gephi | 0.9.2 | network analysis, data visualization |
Microsoft Office | 2016 | general utility |
MS Visual Code | 1.62 | general utility, text editor |
Open Refine | 3.5.0 | data cleaning |
Postman | 9.3.1 | API calls, data gathering |
Python (Anaconda distribution) | 3.9 | quantitative analysis, NLP, data gathering, data visualization, data cleaning, data programming |
R |
4.1.2 | quantitative analysis, NLP, data gathering, data visualization, data cleaning, data programming |
RStudio | v2021 | quantitative analysis, data visualization, data cleaning, digital publishing |
Tableau | 3.0.4 | data visualization |
VOS Viewer | 1.6.17 | text analysis, qualitative analysis |
VPN | na | general utility |
At the time of your reserveration, please go to the Digital Scholarship Hub computer lab in room 2-460. Take a right at the top of the escalator from the main entrance of the Daley Library, the computer lab is right before the curriculum collection. Ring the doorbell for entrance.