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Basically, an article demonstrating how the package (to a limited extent) can do similar things as `{dplyr}` + `{tidyr}` workflow.
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Post your questions here about: “[The Datome - Finding, Wrangling and Encoding Everything as Data](https://docs.google.com/document/d/1vg-W55u3naN1gPmMyPhBWyIS8dJovdvlh6NUKMiFEjo/edit?usp=sharing)”, “…
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- Ibis
- R dplyr
- polars
- pandas 2.0
- pyspark
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This is being coded up on a copy of the file on Colab: [moca_on_colab.ipynb](https://colab.research.google.com/drive/1LtNKz3LSCAaKBoVhvLqYwS4CQ7yIDdtk#scrollTo=03gnrXb84HCg)
- In `R`: [Interoperabi…
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## Description:
It would be extremely helpful to have the ability to save and restore sessions in Data Wrangler. This feature would allow users to:
- Save the current state of data transformatio…
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- How was the data collected, cleaned and preprocessed - is it reproducible?
- Is a survey sufficient and how did you determine who to survey? Were any other research methods used?
- How is health …
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From a discussion with @nikhil153 today.
- The user would specify both a `DATASET_ROOT` and a `CODE_ROOT` (for example). The code directory should have a structure that mirrors the dataset structure,…
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Both the report and the Shiny app should access data from the package (not from https://github.com/STAT325-S24/MobyDick/tree/main/wrangling).
And these should migrate into `data-raw`.
Can you pl…
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https://www.kaggle.com/gemartin/world-bank-data-1960-to-2016#fertility_rate.csv