data_to_viz
Leading to the dataviz you need (by holtzy)
cheatsheets
Official Matplotlib cheat sheets (by matplotlib)
| data_to_viz | cheatsheets | |
|---|---|---|
| 25 | 126 | |
| 925 | 7,238 | |
| - | 0.1% | |
| 5.7 | 7.0 | |
| 3 days ago | 11 days ago | |
| HTML | Python | |
| MIT License | BSD 2-clause "Simplified" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
data_to_viz
Posts with mentions or reviews of data_to_viz.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-19.
- 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/
cheatsheets
Posts with mentions or reviews of cheatsheets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-25.
-
Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Matplotlib - A Python 2D plotting library.
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How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information.
- Matplotlib
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
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Getting visual studio code to work with imported library
Name: matplotlib Version: 3.7.1 Summary: Python plotting package Home-page: https://matplotlib.org Author: John D. Hunter, Michael Droettboom Author-email: [email protected] License: PSFLocation: /home/huinker/.local/lib/python3.10/site-packages
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PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses without relying on expensive or proprietary software.
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What else should I complete before applying for a data analyst role?
programming language: basic python, pandas, matplotlib -- you'll probably do these in school, but if not https://cs50.harvard.edu/python/2022/ https://matplotlib.org/
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
What are some alternatives?
When comparing data_to_viz and cheatsheets you can also consider the following projects:
r4ds - R for data science: a book
finplot - Performant and effortless finance plotting for Python
seaborn - Statistical data visualization in Python
manim - A community-maintained Python framework for creating mathematical animations.
website - The Pudding's website
Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
ggplot2-book - ggplot2: elegant graphics for data analysis
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ggplot - ggplot port for python
Keras - Deep Learning for humans
Python-Scientific-Projects
geogebra - GeoGebra apps (mirror)