bkamins / JuliaCon2020-DataFrames-TutorialLinks
☆53Updated last year
Alternatives and similar repositories for JuliaCon2020-DataFrames-Tutorial
Users that are interested in JuliaCon2020-DataFrames-Tutorial are comparing it to the libraries listed below
Sorting:
- Julia library for reading SAS7BDAT data sets☆36Updated 4 years ago
- Data wrangling exercises as presented at JuliaCN 2020 meeting☆22Updated 4 years ago
- A tutorial on DataFrames.jl prepared for JuliaCon2021☆108Updated last year
- A Complete Guide to Efficient Transformations of DataFrames☆35Updated last year
- ☆29Updated 3 years ago
- Frequency tables in Julia☆93Updated 6 months ago
- Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).☆82Updated 2 years ago
- Missing value support for Julia☆74Updated last year
- CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable. CmdStan will be deprecated in 2022.☆31Updated 3 years ago
- Survival analysis in Julia☆72Updated 3 months ago
- Analysis of complex surveys☆53Updated last year
- Julia implementation of Parquet columnar file format reader☆119Updated 7 months ago
- A fully `Distributions.jl`-compliant copula package☆101Updated 2 weeks ago
- Tidier analysis of categorical variables, modeled after the forcats R package.☆16Updated 3 months ago
- Common table operations on Tables.jl interface implementations☆49Updated last year
- Tidier database analysis in Julia, modeled after the dbplyr R package.☆55Updated last week
- A Julia package for interpretable machine learning with stochastic Shapley values☆90Updated last year
- Tidier data transformations in Julia, modeled after the dplyr/tidyr R packages.☆94Updated last week
- A backend agnostic for tabular data operations in Julia☆26Updated 4 years ago
- Tidier date transformations in Julia, modeled after the lubridate R package.☆22Updated 3 months ago
- Distributed table structures and data manipulation operations built on top of Dagger.jl☆77Updated last year
- A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)☆123Updated last year
- A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms☆74Updated 7 months ago
- ☆92Updated this week
- Statistical bootstrapping library for Julia☆112Updated last year
- Read and write Stata, SAS and SPSS data files with Julia tables☆42Updated 2 months ago
- A toolbox of simple solutions for common data cleaning problems.☆36Updated last year
- Julia-powered dashboards, inspired by Material Design☆71Updated 2 years ago
- Metaprogramming tools for JuliaDB☆33Updated 3 years ago
- Julia backend for Plotly Dash☆59Updated 4 years ago