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- Early Childhood Learning Lab Spring ShowcaseAll day
- PEP TRAINING - Beyond Problem Talk and Problem Solving: The Art and Science of Solution Focused Behavioral Therapy9:00 am
- Luc Hoffman Institute Advisory Council Meeting9:00 am
- 4th Annual Mary C. Williams Lecture in Cell Biology9:30 am
- IS&T RCS Tutorial - Python for Data Analysis10:00 am
- IS&T RCS Tutorial - Analysis of Large Datasets Using R’s Data.table10:00 am
- GRS Dissertation Defense of Oxana Poburinnaya10:00 am
- GRS Dissertation Defense of Oxana Poburinnaya11:00 am
- GRS Dissertation Defense of Oxana Poburinnaya11:00 am
- IS&T RCS Tutorial - Analysis of Large Datasets Using R’s Data.table2:30 pm
- IS&T RCS Tutorial - Introduction to Python scikit-learn3:00 pm
- Urbanity Dance: Annual Spring Revue "Fragment"8:00 pm
IS&T RCS Tutorial - Analysis of Large Datasets Using R’s Data.table
The R data.table package is known for its efficient handling of large datasets and low memory usage compared to similar functions in other packages. In many cases it might significantly decrease the time your code needs to execute. This tutorial will introduce you to the utilities in this package, including: data query basic aggregate/update operations data subsetting, data updating by reference set() utilities indexing and fast joins
When | 10:00 am to 12:00 pm on Friday, May 31, 2019 |
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Location | 2 Cummington Mall; Room 107 |