| lux-org/lux |
4,642 |
|
0 |
2 |
almost 3 years ago |
18 |
February 19, 2022 |
81 |
apache-2.0 |
Python |
| Automatically visualize your pandas dataframe via a single print! 📊 💡 |
| JasonKessler/scattertext |
2,131 |
|
8 |
2 |
over 2 years ago |
148 |
April 18, 2023 |
22 |
apache-2.0 |
Python |
| Beautiful visualizations of how language differs among document types. |
| NathanEpstein/Dora |
628 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
|
Python |
| Tools for exploratory data analysis in Python |
| mstaniak/autoEDA-resources |
299 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
cc-by-4.0 |
HTML |
| A list of software and papers related to automatic and fast Exploratory Data Analysis |
| alastairrushworth/inspectdf |
236 |
|
1 |
0 |
over 3 years ago |
12 |
August 09, 2022 |
5 |
|
R |
| 🛠️ 📊 Tools for Exploring and Comparing Data Frames |
| neerjad/DataVisualization |
216 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph |
| dvgodoy/handyspark |
129 |
|
0 |
0 |
almost 7 years ago |
7 |
May 19, 2019 |
8 |
mit |
Jupyter Notebook |
| HandySpark - bringing pandas-like capabilities to Spark dataframes |
| ahmedbesbes/How-to-score-0.8134-in-Titanic-Kaggle-Challenge |
105 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Solution of the Titanic Kaggle competition |
| great-northern-diver/loon |
45 |
|
8 |
7 |
almost 3 years ago |
18 |
June 15, 2023 |
7 |
gpl-2.0 |
Tcl |
| A Toolkit for Interactive Statistical Data Visualization |
| Renumics/sliceguard |
43 |
|
0 |
1 |
over 2 years ago |
32 |
November 28, 2023 |
0 |
mit |
Python |
| A library for detecting problematic data segments in structured and unstructured data with few lines of code. |
