1.9M
AN@fabervaale.official ☠️
@andreacimitrades
#Ggplot2
Guarda 30K video Reel su Ggplot2 da persone di tutto il mondo.
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Reel di Tendenza
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232.6K
LUMore experiments on realtime visual correlations for the data calculated with my models. I recorded lots of nightingales in the past few years so I have a big audio pool to test with.
I figured out that in the Spread-Centroid-Entropy space (lower graph) the faster trills and rattles get into tight clusters, while slower modulations-buzzes shape 3d paths and clouds in space. So I figured that calculating the mean distance of the points and combining it with amplitude modulation could be a way to try classify the different features of the vocalize on the fly. It's far from perfect and I'm no ornithologist, but it can have some accuracy.
I'm sure real researchers would be able to modulate all this data in much more efficient ways!
#nightingale #generative #bioacoustics #realtime #touchdesigner #birdsong #datavisualization #audioanalysis
@lucioarese
385.0K
BRHopefully this makes the world a better place #n8n
@brodyautomates
812.6K
ARMaster the Python for loop in just 60 seconds — even if you’re brand new. Beginner-friendly breakdown to help you actually get it.
#coding #python #learnpython #programming #tech #hoodcoding
@arrionknight
759.1K
LUColtrane's iconic piece Giant Steps has now a complete visual model 🎷📈 if you like you can watch it on YouTube, link in bio.
This is just the beginning of a long experimental journey, much more is on the way.
#jazz #johncoltrane #touchdesigner #visualmusic #datavisualization #giantsteps
@lucioarese
1.1M
FEDetails from “Shapes of Inequality”, my installation designed for @triennalemilano’s 24th International Exhibition “Inequalities” - on view until November 9.
I designed more than ten large data visualization to depict different shapes of inequalities, from economic disparities to global warming, from social mobility and discriminations related to ethnicity and gender, to biodiversity and biocommunity.
The exhibition design is by Midori Hasuike (@midori_hasuike), editing by Veronica Vannini (@vev425).
#datavisualization #triennalemilano #24thinternationalexhibition #graphicdesign #inequality
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#datavisualizations #editorialdesign #dataviz #infographic #graphicdesign #editorial #visualdesign #typography #graphicinspiration #design #infographie #datajournalism #illustrations #behance #designinspiration #digitaldesign #datavis #diagram #ddj #illustration #datavisualization #adobeillustrator #datavisualization #graphicdesign
@federicafragapane
1.3M
AN#opensource BIOS
@andretregear
188.7K
NA📸🧬📊 Están listos para tomar un SS de los códigos para las gráficas más usadas en bioinformática ?
🔍 ¿Qué es RStudio?
RStudio es una interfaz para el lenguaje R, ideal para el análisis de datos y gráficos. Puedes descargarlo desde su sitio web oficial. Es una herramienta esencial para el análisis en bioinformática.
💥📉 Volcano Plot
Los Volcano Plots te ayudan a visualizar los resultados de un análisis de expresión diferencial, mostrando la significancia (p-value) frente al cambio de expresión (Fold Change).
Librería utilizada: “EnhancedVolcano”
🔥🌡️ Heatmap
Los Heatmaps permiten observar patrones de expresión genética a través de colores, facilitando la identificación de agrupamientos y patrones en los datos.
Librerías utilizadas: “ComplexHeatmap”, “RColorBrewer”
📦📊 Boxplot
Los Boxplots muestran la distribución de la expresión génica en diferentes grupos, permitiendo comparar la variabilidad y los valores extremos entre estos grupos.
Librería utilizada: “ggplot2”
🧩🔬 PCA (Análisis de Componentes Principales)
El PCA reduce la dimensionalidad de los datos, ayudando a visualizar las diferencias entre muestras en un espacio reducido. Es útil para identificar la estructura subyacente en tus datos.
Librerías utilizadas: “ggplot2”, “stats”
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#genetifics #technology #research #science #investigation #student #job #learner #learning #engineering #education #tutorial #biotechnology #medicine #teaching #latam #spanish #statistics #bioinformatica
@nath.biohack
22.2K
SOTop 3 data visualization packages 🤔
1️⃣ https://matplotlib.org
2️⃣ https://seaborn.pydata.org
3️⃣ https://ggplot2.tidyverse.org
Being able to visualize and tell the story is a key component of being a data scientist. With these 3 packages you can pretty much create any plot you can think of! Not only that, but these packages aren’t actually that bad to learn!
There are many other packages out there for data visualization as well, but these are my 3 favorites!
Drop a follow for more coding tips 🎯
#code #coding #datascience #tech #python
@softwarewithnick
1.3M
LUThis beautiful singing blackbird is analyzed in three different 3d graphs, two of which I already employed in the previous reel plus a more direct centroid-amplitude one, with the interesting add of spectral slope values as color.
These graphs utilize 8 of the 14 overall values extracted in realtime from the audio. Much more to come soon.
#blackbird #birdsong #acoustic #touchdesigner #soundanalysis #realtime #datavisualization
@lucioarese
27.2K
DAR vs Python: Key Differences
R:
- Focuses on data analysis and statistics
- Used primarily by academics and researchers
- Powerful data visualization with libraries like ggplot2
- Runs on the RStudio IDE
- Steeper learning curve initially
Python:
- Versatile language used for deployment and production
- Favored by programmers and developers
- Strong data manipulation capabilities with pandas
- Integrates with machine learning libraries like TensorFlow
- Smoother, more linear learning curve
Both are robust data analysis tools, but have different strengths and user bases. Choosing between R and Python depends on your specific needs and background.
#DataScience #Programming #RvsPython
#DataAnalysis #Statistics #AcademicResearch
#Developers #MachineLearning
#DataVisualization #RStudio #Python #DataManipulation
@datapatashala_official
1.5M
VOComment "Link" to get the links!
You Will Never Struggle With Data Structures & Algorithms Again
🔗 Explore these free visualization tools:
1️⃣ visualgo.net
2️⃣ cs.usfca.edu
3️⃣ csvistool.com
Stop memorizing code blindly. See every algorithm in action — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms show step-by-step exactly how data flows and how operations work.
Whether you’re preparing for coding interviews, studying computer science, or just starting with DSA, this is the fastest way to master the fundamentals.
Save this, share it, and turn complex algorithms into simple visuals you’ll never forget.
@volkan.js
✨ Guida alla Scoperta #Ggplot2
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