R package: generate best-practice stats spreadsheets for publication
🎤📎 Talk: the {a11ytables} package for R (originally for EARL 2022)
A C++ library for reading, writing, creating and modifying Microsoft Excel® (.xlsx) files.
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.
R package to create spreadsheets which meet accessibility standards
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?
An ai voice assistant created for KITS studio with information on most of the machines there
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
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