amrrs / drag_drop_ggplot_esquisseLinks
This code is to demonstrate the use of esquisse to generate ggplot2 with drag and drop
☆9Updated 6 years ago
Alternatives and similar repositories for drag_drop_ggplot_esquisse
Users that are interested in drag_drop_ggplot_esquisse are comparing it to the libraries listed below
Sorting:
- R tools for GDELT and the Global Knowledge Graph☆14Updated 11 years ago
- Animated Visualizations of Popular Machine Learning Algorithms☆36Updated 8 years ago
- SigOpt's public R client☆14Updated last year
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- PolYamoR is the first forward-reverse automated translation system between Python and R☆16Updated 8 years ago
- ☆8Updated 10 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 7 years ago
- Visualisation for EDA☆32Updated 8 years ago
- This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series☆34Updated last year
- anomaly detection with anomalize and Google Trends data☆43Updated 5 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- The ML Studio Package☆70Updated 7 years ago
- Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository☆26Updated 9 years ago
- Short programming tutorials pertaining to data analysis.☆15Updated 8 years ago
- R Code + R Notebook on how to process and visualize NCAA basketball data.☆16Updated 7 years ago
- Add-on package for using the Gridster library with Shiny☆25Updated 9 years ago
- Exploring sequential data with a sankey diagram☆22Updated 2 years ago
- ☆21Updated last week
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 2 years ago
- R package to compute and visualize summary trees☆36Updated 9 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- Interactive visualization for time series forecasts☆23Updated 4 years ago
- Data sets for the igraph R package☆56Updated this week
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 months ago
- Simulating Supervised Learning Data☆9Updated 2 years ago
- Performs unique entity estimation corresponding to Chen, Shrivastava, Steorts (2018).☆14Updated 6 years ago
- ARCHIVED A general purpose R interface to Solr☆58Updated 2 years ago
- Documentation for the DALEX project☆36Updated last year
- Library for integrated use of H2O with Hyperopt☆13Updated last year