Seaborn là gì? Các hàm vẽ biểu đồ trong Seaborn (Python)

Nếu bạn đang tìm cách trực quan hóa dữ liệu trong Python một cách hiệu quả và dễ dàng, Seaborn chính là lựa chọn tuyệt vời. Được xây dựng trên nền tảng Matplotlib, Seaborn giúp bạn tạo ra những biểu đồ đẹp mắt chỉ trong vài dòng mã. Bài viết này sẽ giải thích chi tiết về Seaborn, tính năng nổi bật và so sánh nó với Matplotlib để bạn có thể lựa chọn công cụ phù hợp.

Xem ngay: https://interdata.vn/blog/seaborn-la-gi/

#interdata #python #seaborn

#30DayChartChallenge let's go! This #dataviz was for a bit of #Python practice, and I could *not* have sorted out the non-linear gradient for 1 > n > 0 without #claudeai. Made with #seaborn and patience 🎨 #FractionArt #ColorfulMath #PythonDataViz #FractionFunhouse

Инструменты Python для анализа данных на примере данных стриминг-сервиса

В данной статье рассмотрены некоторые методы и инструменты библиотек python для анализа данных. Используем три самые популярные библиотеки: Pandas, Numpy, Seaborn

https://habr.com/ru/articles/894530/

#pand #numpy #seaborn #python3 #analytics #jupyter_notebook

Compare the Best Data Visualisation Libraries for Python and Pandas

Python Histogram Plotting: Visualizing Multiple Datasets with Seaborn
Master Python Histogram Plotting for effective data visualization! Learn to create clear histograms with multiple datasets using Matplotlib & Seaborn. Improve your data analysis skills today! #Python #DataVisualization #Matplotlib #Seaborn #Histograms #DataAnalysis
https://tech-champion.com/programming/python-programming/python-histogram-plotting-visualizing-multiple-datasets-with-seaborn/

How to create a pie chart with #Python and #seaborn 🐍🔥

Visualize atmospheric data using Python Heatmap Analysis! Learn to create scatter plots & heatmaps with Seaborn & Matplotlib for insightful weather pattern analysis. PythonHeatmap #DataVisualization #AtmosphericData #Seaborn #Matplotlib #Plotly
https://tech-champion.com/data-science/python-heatmap-analysis-visualizing-atmospheric-data-correlation

Before prettifying: a colourful riot of indecipherable lines. After: much better.

Hypsometry across 22 study sites, grouped by whether the site is a lake-terminating or land-terminating.

#dataviz #matplotlib #seaborn #hypsometry

@jzsimon @arclight @JosetAEtzel

Check this fresh updated article:
https://codingidol.com/how-to-plot-in-python-without-matplotlib/

#Plotly #Seaborn #Bokeh #Altair #Python #python3 #pandas

#DataViz Decision-Making Guide

"How do you decide between #Plotly and #Seaborn?
* If you need interactive and dynamic visualizations, especially for dashboards or 3D data, Plotly is the way to go.
* If you’re focused on statistical analysis, creating publication-ready visuals, or conducting exploratory data analysis, Seaborn is likely your best choice."
by Amit Yadav: https://medium.com/@amit25173/plotly-vs-seaborn-f7207dd3e642

#dataDev #retrieval #dataMining

Me: #datavisualization is so boring and annoying 😑
Also me: Learns and becomes proficient in the usage of #matplotlib #seaborn #plotly and #ggplot2 and codes #dash and #shiny dashboards with my eyes closed.
😂
I can’t explain it either.
#DataScience #DataScientist

Возможности функции scatterplot() библиотеки seaborn

Функция scatterplot() из библиотеки seaborn предназначена для построения диаграммы рассеяния, позволяя визуализировать взаимосвязь между двумя числовыми переменными. Она предоставляет множество параметров для настройки внешнего вида точек, цветовых оттенков и размеров, что делает её полезной для анализа данных с несколькими переменными.

https://habr.com/ru/articles/855758/

#Seaborn #scatterplot

Nom.

https://fediscience.org/@tlohde/113412191058419280
@tlohde - Croissant Distribution🥐 📊

or, where am I most likely to have my next croissant, assuming (something something) independence from my previous croissant. 🥐^k * e^(-🥐) / k!
--
2d kernel density estimation of the location of bakeries (blue) and farms (red) across France.

Locations taken from OpenStreetMap, with #osmnx & plotted with #matplotlib & #seaborn. font: Borel, by Rosalie Wagner.

#30DayMapChallenge Day 2: Lines

Croissant Distribution🥐 📊

or, where am I most likely to have my next croissant, assuming (something something) independence from my previous croissant. 🥐^k * e^(-🥐) / k!
--
2d kernel density estimation of the location of bakeries (blue) and farms (red) across France.

Locations taken from OpenStreetMap (considered paying attention to the size of the farm, but didn't), with #osmnx & plotted with #matplotlib & #seaborn. font: Borel, by Rosalie Wagner.

#30DayMapChallenge Day 2: Lines

Python – Seaborn – Data Visualization Masterclass [Crash Course]

Python #Visualization #Seaborn Welcome to the Python Data Visualization with Seaborn. Following is the repository of the code ... source

https://quadexcel.com/wp/python-seaborn-data-visualization-masterclass-crash-course/

Playing with #Kaggle today...
File similarity work bleeding over into my weekend mindspace.

https://www.kaggle.com/code/osunderdog/filesimilarityvisual

#python #seaborn #datavis

Are Power Rangers shows getting better? Episodes in 2019 and 2020 seem to be rated higher compared to previous seasons. I didn't even know the show was still going 👀 😅

My contribution to the #TidyTuesday challenge week 35 using the Kaggle Power Rangers data set. #Dataviz made in #python using #matplotlib + #seaborn.

🔗Full code (a bit messy though) https://github.com/Lisa-Ho/small-data-projects?tab=readme-ov-file#092024-power-rangers