https://github.com/nyuvis/visual_analytics_course
Labs for Visual Analytics Course
https://github.com/nyuvis/visual_analytics_course
Last synced: 4 months ago
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Labs for Visual Analytics Course
- Host: GitHub
- URL: https://github.com/nyuvis/visual_analytics_course
- Owner: nyuvis
- Created: 2019-03-16T21:17:46.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-24T16:32:11.000Z (over 4 years ago)
- Last Synced: 2024-08-01T13:36:05.859Z (7 months ago)
- Language: Jupyter Notebook
- Size: 29.7 MB
- Stars: 6
- Watchers: 10
- Forks: 18
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## LARGE-SCALE VISUAL ANALYTICS (CS-GY 6323) 2020 Spring
This is the github page for the labs and assignments covered by visual analytic (CS-GY 6323).
## General Information
[Syllabus](https://docs.google.com/document/d/1iW3myLJUXqfOTKBdMSiO8fIGCb1TxJq1yEj0DgTE44Y/edit?usp=sharing)
#### Instructor
Prof. Enrico Bertini
370 Jay, Rm 1154
Phone: 646 997 3731
Office hours: Thu 6:00 pm, or by appointment on Fri.
#### TA for labs
Jun Yuan
Contact: [email protected]
For help with labs and projects, reach out via email.
## Lecture Slides
- [What is Visual Analytics?](https://docs.google.com/presentation/d/1cOCapZ-CSJaRaKtbji6u5u1yWyfNXIv-kJd0Qhajcbw/edit?usp=sharing)
- [Analytical Processes](https://docs.google.com/presentation/d/1qnQQZAtTa6G5govAL9itfhJfhscc0_VfQonOGObhqkQ/edit?usp=sharing)
- [Review Exercise: EDA](https://drive.google.com/open?id=1wQDb4y1Upjye_4-y8kV4sf7fDvul-LWoZIFRFWI6qUQ)
- [Time-Oriented Data](https://drive.google.com/open?id=1OdhG2XjCVxWuWTfDp82y0nrXCcjjbDrpOxYql_Agq1k)
- [Geo-Oriented Data](https://drive.google.com/open?id=1UPCCCgvQ-DDj4vwUxEuoloJdca57iDBeN2NJp9lUaTI)
- [Aggregated Statistics](https://drive.google.com/open?id=1dhIX_P9LxEGqrPNOUWo71Qrg0rgp8A_5HSdPb2itZb0)
- [Multidimenional Data](https://drive.google.com/open?id=1fuTFe_jdppkLFfLB1FFxsDxCzP0rPf9qxTFXTeiqo24)
- [Text Data](https://docs.google.com/presentation/d/18ezEmG2spzuB94eZ5nqoq4iCv0byLwULrkYv7fLLfGs/edit?usp=sharing)
## Labs and Slides
01/30: [Introduction to Jupyter](https://docs.google.com/presentation/d/1UgrUyqodXVgMDz6NpCQ4RD0ceeC41kLsV_pIN1qlTuk/edit?usp=sharing) ([pdf](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab1_Jupyter/Intro2Jupyter.pdf))
02/20: [Preprocessing for Visualization](https://docs.google.com/presentation/d/1Bzn1Y_seyh4VvMRSfxQAuskR-TSKB0tINR4u_9d6xho/edit?usp=sharing) ([pdf](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab2_Preprocessing/Preprocessing4Vis.pdf))
02/27: [Visualization with Altair](https://docs.google.com/presentation/d/1L0d4HAdFDIPSbcU7mUlmuxASq-HcVWeTxN426rNR8Bo/edit?usp=sharing)
03/05: [Map Visualization](https://docs.google.com/presentation/d/1ky29RvALISD6L-ajeTJB-qKxtNzSWZSMllRV3uW0l8c/edit?usp=sharing) \([notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab4_map/maps.ipynb))
03/12: Temporal Data Visualization ([in-class notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab5_temporal/TemporalDataVis-InClass.ipynb))([complete notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab5_temporal/TemporalDataVis-Complete.ipynb))([data](https://drive.google.com/open?id=1KPkLg2XaXdvDbZTteGAdB7_88bG0mid1))
03/26: Statistics Visualization ([in-class notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab6_statistics/statistics_vis_inclass.ipynb))([data](https://data.cityofnewyork.us/Health/DOHMH-New-York-City-Restaurant-Inspection-Results/43nn-pn8j))
04/16: High Dimensional Data Visualization ([in-class notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab7_high_dimension/hd_vis_inClass.ipynb))([complete notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab7_high_dimension/hd_vis_complete_part1.ipynb))([data](https://archive.ics.uci.edu/ml/datasets/Communities+and+Crime))
04/23: High Dimensional Data Visualization - Clustering and Projection ([in-class notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab8_hd_part2/hd_vis_inClass_part2.ipynb))
05/04: High Dimensional Data Visualization - Correlation and Relevance ([notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab9_hd_part3/hd_correlation_relevance.ipynb))
05/07: Text Data Visualization ([data preparation](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab10_text/VoxDataPrepare.ipynb), [in-class notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab10_text/text_vis_inClass.ipynb), [updated notebook](https://github.com/nyuvis/visual_analytics_course/blob/master/labs/lab10_text/text_vis_updated.ipynb))