Name: Manipulating DataFrames with Julia and R
Start: 2019-10-29T18:00:00Z
End: 2019-10-29T19:00:00Z
Location: Chaplins Bar 2 Hawkins St, Dublin 2 (across from Screen Cinema)

One of the most critical part in doing regression, classification, or visualization of any data is the pre-processing involved. Once the proper data transformation is carried out, exploratory data analysis and modeling become trivial in many cases.

The presentation follows the basic workflow popularized by Hadley Wickam (https://r4ds.had.co.nz/explore-intro.html) to perform data mangling of DataFrames akin to SQL queries in databases.

Julia and R provide complementary toolsets to perform both exploratory data analysis and modeling. The discussion will present examples where both Julia and R can be used in the same workflow exploiting the corresponding strengths provided by their libraries to seamlessly process the same dataframe in one code where Julia interfaces with R to do some tasks best processed by R libraries.

Outline:
1. split-apply-combine
2. reshaping
3. joins and merge
4. missing data
5. threads and distributed processing
6. visualization

We will have a practical session after the presentation where we will analyze the dataset (anonymized) you bring or available in the internet for download to have more deeper understanding of the processing involved.

Paulito Palmes

Dublin Julia Users Group

Technology

Predictive Analytics

Data Analytics

Data Science

Artificial Intelligence

Computer Programming

High Performance Computing

Machine Learning

Data Mining

Deep Learning

Julia Programming Language

Anca

Ciaran

Jayesh Aswar

Ayoub Lasri

Mohit Singh

Vishal Tyagi

Rishav Dev Singh

Manipulating DataFrames with Julia and R

Chaplins Bar 2 Hawkins St, Dublin 2 (across from Screen Cinema)

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Dublin Julia Users Group

Manipulating DataFrames with Julia and R

Dublin Julia Users Group

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