data_to_viz
seaborn
data_to_viz | seaborn | |
---|---|---|
25 | 76 | |
925 | 11,958 | |
- | - | |
5.7 | 8.4 | |
2 days ago | 7 days ago | |
HTML | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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data_to_viz
- Suggest an AI tools
- Comment transformer vos données en visuels qui vous feront passer pour un crack d'excel :
- From Data to Viz: Library of Data Viz Terms, Definitions, and Examples
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What are your main difficulties in doing statistics for your thesis?
Here's a wonderful example: https://www.data-to-viz.com/
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STEM Grads: Programs/online resources for making diagrams, figures, etc. for PPT?
For plotting data, from Data to Viz is a great resource if you're comfortable (or willing to learn) using R or Python for data visualization. Even if you don't want to learn those, it's a great place to go for inspiration. https://www.data-to-viz.com/
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Help me find the name of this plot?
Use data-to-viz https://www.data-to-viz.com/ for you data visualization needs. My guess is you’re looking for an UpSet plot.
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Best tools for good looking tables and piecharts
also, the link I sent you has some code snippets for different kind or representations - https://www.data-to-viz.com/
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Visualizing potential savings
If you want some suggestions for chart types, https://datavizcatalogue.com/search.html or https://www.data-to-viz.com/ might be helpful. You seem to need two types; a part-of-a-whole chart and a comparison chart. Some of your data is categorical, some is numerical. Those constraints should be sufficient to narrow down your choices.
- Ask HN: How would you spatialize higher dimensional data?
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Texts explaining when to use what type of plot for visualization?
https://r-graph-gallery.com/ https://www.data-to-viz.com/
seaborn
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Apache Superset
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.
I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.
I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.
For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.
Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).
The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.
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Seaborn bug responsible for finding of declining disruptiveness in science
It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib).
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Why Pandas feels clunky when coming from R
While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time.
https://seaborn.pydata.org/
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Releasing The Force Of Machine Learning: A Novice’s Guide 😃
Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics.
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Seven Python Projects to Elevate Your Coding Skills
Matplotlib Seaborn Example data sets
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Seaborn - Statistical data visualization using Matplotlib.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/mwaskom/seaborn
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Best Portfolio Projects for Data Science
Seaborn Documentation
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[OC] Nationwide Public Transit Ridership is down 30% from pre-lockdown levels; San Francisco's BART ridership is down almost 70%
You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts
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Introducing seaborn-polars, a package allowing to use Polars DataFrames and LazyFrames with Seaborn
I'm sure that your package is great, but seaborn will soon support the interchange protocol and will work relatively seamlessly with polars. https://github.com/mwaskom/seaborn/pull/3340
What are some alternatives?
r4ds - R for data science: a book
bokeh - Interactive Data Visualization in the browser, from Python
website - The Pudding's website
Altair - Declarative statistical visualization library for Python
ggplot2-book - ggplot2: elegant graphics for data analysis
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
ggplot - ggplot port for python
Python-Scientific-Projects
plotnine - A Grammar of Graphics for Python
cal-heatmap - Cal-Heatmap is a javascript charting library to create a time-series calendar heatmap
matplotlib - matplotlib: plotting with Python