R package: generate best-practice stats spreadsheets for publication
🎤📎 Talk: the {a11ytables} package for R (originally for EARL 2022)
pyopenxlsx is a high-performance Python binding for the OpenXLSX C++ library. It aims to provide significantly faster read/write speeds compared to pure Python libraries like openpyxl, while maintaining a Pythonic API design.
A R/shiny app built for a Cohen Aliados Financieros's challenge. In this project i must select a dataset of tidytuesday and do a EDA using R and his Shiny library for host a Shiny app in the web
Crawl data tiki.vn
This repository teaches how to export multiple data frames in R to Excel workbook
Among those tools to read Excel files in R, which one is the fastest?
R package to create spreadsheets which meet accessibility standards
A C++ library for reading, writing, creating and modifying Microsoft Excel® (.xlsx) files.
A Python automation script for fetching, cleaning, and organizing lead data using public APIs and Pandas.
An app returning appropriate bundles available in 2 operators according to his budget and his priorities
Socium API. Формирование отчетов в формате xlsx, pdf, pptx, csv.
Large Unstructured pathogen data file is automated into structured data excel file for different pathogens along with different regions as sheets in the excel and this data file is statistically processed to put the data into dashboard
Add a description, image, and links to the openxlsx topic page so that developers can more easily learn about it.
To associate your repository with the openxlsx topic, visit your repo's landing page and select "manage topics."