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Altair: Interactive Statistical Visualizations for Python

Jacob VanderPlas, Brian Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Arvind Satyanarayan, Eitan Lees, Ilia Timofeev, Ben Welsh, Scott Sievert
2018 Journal of Open Source Software  
Summary Altair is a declarative statistical visualization library for Python.  ...  Second, the JSON data produced by Altair and consumed by Vega-Lite provides a natural serialization and file format for statistical visualizations.  ... 
doi:10.21105/joss.01057 fatcat:7ileg4povza4jpxecdnmq3u63i

Quantitative Evaluation of Cardiac Cell Interactions and Responses to Cyclic Strain

Richard Duc Hien Tran, Tessa Altair Morris, Daniela Gonzalez, Ali Hatem Salaheldin Hassan Ahmed Hetta, Anna Grosberg
2021 Cells  
As a result, the interplay between the cell phenotype and mechanical stimulation needs to be considered to understand the biophysical cell interactions and organization in healthy and diseased myocardium  ...  Meli for their help in Western blotting. We would also like to thank Samuel Safran, Eran Bouchbinder, and Avraham Moriel for discussions related to this work.  ...  Statistical Analysis To determine statistical significance, one-way analysis of variance (ANOVA) with Tukey's Test was performed in Python 3.7.7 using the module statsmodels.  ... 
doi:10.3390/cells10113199 pmid:34831422 pmcid:PMC8625419 fatcat:5lm42afdq5ff7ez7bxq2d4l6xi

splot - visual analytics for spatial statistics

Stefanie Lumnitz, Dani Arribas-Bell, Renan Cortes, James Gaboardi, Verena Griess, Wei Kang, Taylor Oshan, Levi Wolf, Sergio Rey
2020 Journal of Open Source Software  
Thank you, Rebecca Bilbro and Benjamin Bengfort for sharing your insights in how to structure and build API's for  ...  Thank you, Joris Van den Bossche and the geopandas team for timing releases in accordance with splot developments.  ...  However, existing methods in Python, specifically for statistical visualization of spatial data, are lacking.  ... 
doi:10.21105/joss.01882 fatcat:wl4khfjezrhfppypvobcgu4ijy

Learning Vis Tools: Teaching Data Visualization Tutorials [article]

Leo Yu-Ho Lo, Yao Ming, Huamin Qu
2019 arXiv   pre-print
Starting with GUI-based visualization tools and data analysis with Python, students put visualization knowledge into practice with increasing amounts of programming.  ...  Teaching and advocating data visualization are among the most important activities in the visualization community.  ...  For the visualization library, we pick Altair, which is developed by researchers in the visualization community, over a more popular plotting library, Matplotlib [16] in the Python community.  ... 
arXiv:1907.08796v2 fatcat:vrln7lfou5g5jgvhzu6wl4sbx4

A High-level Language for Interactive Data Visualization

Leila De Floriani
2017 Computer  
Notebooks (using, for example, the Altair Python API). /computer-multimedia to learn more about Vega-Lite.  ...  Existing grammars of graphics are effective for creating static charts but provide little if any support for con structing interactive visualizations.  ... 
doi:10.1109/mc.2017.95 fatcat:35nq356dwzd3towbdfjcxx5j34

Data visualization tools drive interactivity and reproducibility in online publishing

Jeffrey M. Perkel
2018 Nature  
, for R, and Plotly's Dash for Python.  ...  Whereas most of these tools tend to provide functions for specific graph types, Vega-Lite and Altair are flexible 'grammars' that describe, for instance, how variables map to different visual features,  ... 
doi:10.1038/d41586-018-01322-9 pmid:29388968 fatcat:jv2aztgm6ze4zpzrcodxqhfyya


2020 Global journal of engineering science and research  
This paper presents a review of the basic concepts of data visualization and various techniques and tools used for visualizing data.  ...  Data Visualization techniques are very helpful to visualize and understand outliers, trends, and patterns in data and thus helpful in decision making.  ...  Altair is a declarative statistical visualization library in python and based on Vega and Vega-Lite visualization [25] .  ... 
doi:10.29121/gjesr.v7.i8.2020.3 fatcat:ep3nakkexnftvnw3fr54pqp46a

ugtm: A Python Package for Data Modeling and Visualization Using Generative Topographic Mapping

Héléna Alexandra Gaspar
2018 Journal of Open Research Software  
The package implements supplementary functions for GTM visualization and kernel GTM (kGTM). The code is under MIT license and available on GitHub (  ...  ugtm is a Python package that implements generative topographic mapping (GTM), a dimensionality reduction algorithm by Bishop, Svensén and Williams.  ...  Baskin for their help in designing the GTC and GTR algorithms.  ... 
doi:10.5334/jors.235 fatcat:fimbni7ai5dgvkwi5kliqgocw4

Visualizing 'omic feature rankings and log-ratios using Qurro

Marcus W Fedarko, Cameron Martino, James T Morton, Antonio González, Gibraan Rahman, Clarisse A Marotz, Jeremiah J Minich, Eric E Allen, Rob Knight
2020 NAR Genomics and Bioinformatics  
To address these problems we introduce Qurro, a tool that interactively visualizes a plot of feature rankings (a 'rank plot') alongside a plot of selected features' log-ratios within samples (a 'sample  ...  done using custom code to visualize feature rankings and the log-ratios of interest.  ...  The authors thank Jake VanderPlas, Dominik Moritz and the rest of the Altair/Vega development teams for answering questions regarding their software.  ... 
doi:10.1093/nargab/lqaa023 pmid:32391521 pmcid:PMC7194218 fatcat:wjmfcuyfcbguvmg6mmrmd5cp6y

Wiz: A Web-Based Tool for Interactive Visualization of Big Data

Christopher Balzer, Rama Oktavian, Mohammad Zandi, David Fairen-Jimenez, Peyman Z. Moghadam
2020 Patterns  
Interactive data visualization addresses both fronts by allowing researchers to explore data beyond what static images can offer.  ...  Here, we present Wiz, a web-based application for handling and visualizing large amounts of data.  ...  Some Python examples include Plotly, 13 Altair, 14 pygal, 15 and to a lesser extent Bokeh, 16 Gleam, 17 and Matplotlib. 18 However, most visualization tools are declarative, which means a user  ... 
doi:10.1016/j.patter.2020.100107 pmid:33294864 pmcid:PMC7691393 fatcat:ehnraumuf5a2ng5nwiwnv66izm

P6: A Declarative Language for Integrating Machine Learning in Visual Analytics [article]

Jianping Kelvin Li, Kwan-Liu Ma
2020 arXiv   pre-print
We present P6, a declarative language for building high performance visual analytics systems through its support for specifying and integrating machine learning and interactive visualization methods.  ...  However, integrating machine learning methods with interactive visual analysis is challenging.  ...  For example, Dash [2] offers interactive chart templates in Python that use D3 for rendering the charts, and Altair [51] leverages Vega-Lite to provide a Python API for declarative visualization specification  ... 
arXiv:2009.01399v1 fatcat:723jzwvs3nhkzkcajtl77uwvga

Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations [article]

Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, Leilani Battle, Niklas Elmqvist
2022 arXiv   pre-print
Keeping abreast of current trends, technologies, and best practices in visualization and data analysis is becoming increasingly difficult, especially for fledgling data scientists.  ...  Our results suggest that users find Lodestar useful for rapidly creating data science workflows.  ...  Altair [64] builds on Vega [49] and Vega-Lite [50] to provide statistical visualizations in Python, and thus in Jupyter Notebooks as well.  ... 
arXiv:2204.07876v1 fatcat:tzva7qrmojccbhxzdxeaf4k32u

Using Exploratory Data Analysis for Generating Inferences on the Correlation of COVID-19 cases

Joanita DSouza, Senthil Velan S
2020 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)  
A Web application tool called Jupyter Notebook is used to generate graphs using python language as it consists of libraries which are used for the process of EDA and the visualization is depicted for the  ...  In this paper, data visualization technique is applied to the dataset and is used to formulate patterns for better insights on the effects of the pandemic with respect to the variables/ labels given in  ...  Python Pandas is perhaps the simplest and easiest base mapping process. Python Seaborn is perfect for colorincluding visually pleasing statistical charts.  ... 
doi:10.1109/icccnt49239.2020.9225621 dblp:conf/icccnt/DSouzaS20 fatcat:x4wa4wwje5c7lcvbdef22rng3q

Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows [article]

Doris Jung-Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran
2021 arXiv   pre-print
Lux features a high level language for generating visualizations on demand to encourage rapid visual experimentation with data.  ...  We propose Lux, an always-on framework for accelerating visual insight discovery in dataframe workflows.  ...  tistical visualizations for python. Journal of Open Source Software, 3(32):1057, [84] C. Yan and Y. He.  ... 
arXiv:2105.00121v2 fatcat:gphjm3jqdzevbc4f6yvfyjod7i

Mid-Scale Research Infrastructure - The Scientific Python Ecosystem

Andreas Mueller, Andy Terrel, Thomas Caswell, Ralf Gommers, Gina Helfrich, Ryan Abernathey
2019 Figshare  
Rejected Preliminary Proposal for Mid-Scale Research Infrastructure-1, NSF call at document proposed an extension of the Scientific Python Ecosystem  ...  It will also ease working with data streams and provide a library agnostic interface to interact with other libraries like Bokeh, Plotly and Altair.  ...  , and Jupyter providing a user-friendly interface that supports interactive and collaborative research for Julia, Python, R (hence JuPyt[e]R) and other languages.  ... 
doi:10.6084/m9.figshare.8009441.v1 fatcat:dhxrat4xpnhlzlhvir5dnqaguq
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