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useR! 2024
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8 - 11 July, 2024
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Wednesday, July 10 • 11:50 - 12:10
Tackling Formatted Tabular Data from Excel - Jeremy Selva, National Heart Centre Singapore

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Reading tabular data with formatted cell in Microsoft Excel can be really tricky. Unexpected things may happen if I read it blindly in R using readxl::read_excel. I have tried to use the col_types argument but it was not enough for me. Unfortunately, there are limited resources to deal with reading tabular data with formatted cells in Excel. In my presentation, I will share some problematic formatted columns that I have encountered during my work with clinical data. Examples are Date in General (Text) and Date number format Numeric column with different colour font representing different units of the same measurements Numeric columns with some numbers provided in text More importantly, I will share how I managed to handle them in R using these three R packages collateral (https://collateral.jamesgoldie.dev/), pointblank (https://rstudio.github.io/pointblank/index.html) and tidyxl (https://nacnudus.github.io/tidyxl/index.html). For more details, I have written a blog post on https://jeremy-selva.netlify.app/blog/2024-02-15-tackling-formatted-cell-data/

Speakers
avatar for Jeremy Selva

Jeremy Selva

Jeremy John Selva, National Heart Centre Singapore
Jeremy is a Research Officer at the National Heart Centre Singapore. His job involves cleaning and harmonisation of clinical data from multiple labs related to cardiology such as cardiac medication, coronary artery calcium score and stenosis severity. He is curious to find ways to... Read More →


Wednesday July 10, 2024 11:50 - 12:10 CEST
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