cmu-delphi/forecast-eval

Save output as CSV, and read and write using `data.table`

Open

#262 opened on Apr 17, 2023

View on GitHub
 (5 comments) (0 reactions) (1 assignee)R (3 forks)auto 404
enhancementgood first issue

Repository metrics

Stars
 (6 stars)
PR merge metrics
 (PR metrics pending)

Description

Using RDS to read/write/store data is slow and not portable. We may want to switch the data pipeline or dashboard to being written in Python in the future, so using a format that Python can easily read would be preferable.

Looking at a comparison of different formats and packages, storing as a CSV and reading/writing using data.table via fread and fwrite seems pretty good. feather could also be an option (is supported in both R and Python) but it's not clear if standard dataframe and dplyr procedures work with it. data.table data can be seamlessly processed either with dplyr or with faster data.table syntax.

Contributor guide

Research direction
Identify all locations in the codebase where RDS files are read or written. Replace readRDS with fread and saveRDS with fwrite for CSV files. Ensure that the resulting CSV files maintain the same structure and can be read back correctly. Also, check if any downstream code relies on specific RDS attributes (e.g., column types) and adjust accordingly.
Tech stack
r
Domain
backenddata
Issue type
Refactor
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
GitRdata.table
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70