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#Plotly Reel by @marina.petzel.tech - 🎨Top-4 libraries for data visualization Matplotlib is a go-to choice for many data scientists. With Matplotlib, you can create various types of plo
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@marina.petzel.tech
🎨Top-4 libraries for data visualization Matplotlib is a go-to choice for many data scientists. With Matplotlib, you can create various types of plots, such as line plots, bar plots, scatter plots, and histograms. Seaborn is a high-level library built on top of Matplotlib. Seaborn simplifies the creation of statistical graphics and offers a range of attractive themes and color palettes. Plotly is a library for interactive visualizations. With Plotly, you can create dynamic charts that allow users to zoom, select, and hover over data points. Bokeh is another library that excels in interactive data visualization. Bokeh’s server-based architecture allows for real-time updates and streaming, making it a popular choice for live data visualizations. Go ahead, explore their capabilities, and unleash the power of data visualization in Python. Follow @ai.marina.io to know how to succeed in data science field! #datascientist #datascience #dataanalytics #womenwhocode #womenintech #code #datasciencecareers #programming #python #data #datavisualization #datavizualisation #matplotlib #seaborn #bokeh #plotly #pythonlibrary #visualization #pythontips #pythonprogramming #pythoncode
#Plotly Reel by @mavenanalytics - Pandas, Plotly, and Dash are a divine combination for anyone who loves business intelligence and open source tools. We recently got a question from a
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@mavenanalytics
Pandas, Plotly, and Dash are a divine combination for anyone who loves business intelligence and open source tools. We recently got a question from a student asking for some support on building an interactive visualization that plotted time series data, but changed the window of aggregation based on user inputs. For example, users might want to look at the average oil price by day, month, quarter or year. In this video we take a look at: 🐼 Pandas resample method for time series aggregation 📈 Plotly Express Line Charts 🖥️ Dash for Interactive Web Applications If you want to learn more, check out our courses on the Maven Platform or Udemy! If you have any other tricky tasks to tackle, comment below and let’s see if we can solve them! #data #analytics #python #plotly #dash #pandas #mavenanalytics
#Plotly Reel by @priyal.py - 1. Netflix Show Clustering Group similar shows using K-Means based on genre, rating, and duration. Tech Stack: Python, Pandas, Scikit-learn, Seaborn
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@priyal.py
1. Netflix Show Clustering Group similar shows using K-Means based on genre, rating, and duration. Tech Stack: Python, Pandas, Scikit-learn, Seaborn 2. Spotify Audio Feature Analyzer Analyze songs by tempo, energy and danceability using Spotify API. Tech Stack: Python, Spotipy, Matplotlib, Plotly 3. YouTube Trending Video Analyzer Discover what makes a video go viral. Tech Stack: Python, Pandas, BeautifulSoup, Seaborn 4. Resume Scanner using NLP Parse and rank resumes based on job description matching. Tech Stack: Python, SpaCy, NLTK, Streamlit 5. Crypto Price Predictor Predict BTC/ETH prices using historical data. Tech Stack: Python, LSTM (Keras), Pandas, Matplotlib 6. Instagram Hashtag Recommender Suggest hashtags based on image captions or niche. Tech Stack: Python, NLP, TF-IDF, Cosine Similarity 7. Reddit Sentiment Tracker Analyze community sentiment on hot topics using Reddit API. Tech Stack: Python, PRAW, VADER, Plotly 8. AI Job Postings Dashboard Scrape and visualize job trends by tech stack and location. Tech Stack: Python, Selenium/BeautifulSoup, Streamlit 9. Airbnb Price Estimator Predict listing prices based on location and amenities. Tech Stack: Python, Scikit-learn, Pandas, XGBoost 10. Food Calorie Image Classifier Estimate calories from food images using CNNs. Tech Stack: Python, TensorFlow/Keras, OpenCV Each project can be completed in 1-2 weekends. #datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #projects
#Plotly Reel by @python_for_bioinformatics - Get customised plots for your dataset starting at just INR 499/- #bioinformatics #biotechnology #datascience #dataanalysis #pca #datavisualization #p
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@python_for_bioinformatics
Get customised plots for your dataset starting at just INR 499/- #bioinformatics #biotechnology #datascience #dataanalysis #pca #datavisualization #python #rprogramming #pythonprogramming #matlab #plotly
#Plotly Reel by @pythonclcoding - Plotly (High-End Interactive Visualization) Mastering Pandas with Python https://pythonclcoding.gumroad.com/l/Mastering-Pandas-with-Python
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@pythonclcoding
Plotly (High-End Interactive Visualization) Mastering Pandas with Python https://pythonclcoding.gumroad.com/l/Mastering-Pandas-with-Python
#Plotly Reel by @knimesoftware - Enjoying working with Python? The KNIME Python Integration extension lets you use your favorite tools, including these visualization libraries. 📊🎨
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@knimesoftware
Enjoying working with Python? The KNIME Python Integration extension lets you use your favorite tools, including these visualization libraries. 📊🎨 Bring your data to life and create static and interactive visualizations…and make your reports look so cool, that maybe your coworkers will even want to read them in full. 😉 Visit our blog to learn more. #Python #datavisualization #Matplotlib #Seaborn #Plotly #Altair #dataanalytics #dataanalyst #lowcode #visualprogramming
#Plotly Reel by @codeandcrush - 🚀 10 Python Libraries That Build Dashboards in Minutes Stop wasting hours on UI. With the right Python library, you can turn raw data into a clean,
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@codeandcrush
🚀 10 Python Libraries That Build Dashboards in Minutes Stop wasting hours on UI. With the right Python library, you can turn raw data into a clean, interactive dashboard in minutes — not days. From Streamlit for instant apps ⚡ To Dash for production-ready analytics 📊 To Gradio for ML demos 🤖 These tools are what real data analysts & developers use to move fast and stand out. 👉 Save this post — you’ll need it later 👉 Share with someone learning Python 👉 Comment “Dashboard” if you want starter templates Consistency + right tools = growth 💯 #python #pythonprogramming #datascience #dataanalytics #dashboard #datavisualization #streamlit #plotly #machinelearning #ai #codinglife #programminglife #learnpython #pythondeveloper #analytics #techcontent #developercommunity #codingreels #reelsinstagram #instareels #viralreels #growwithcode #codecrush #techindia
#Plotly Reel by @itsallykrinsky - 3 options to showcase your ML projects ⬇️ ✨ Dash by Plotly ✨ Gradio ✨ Streamlit #techcareer #datascientists #careergrowthtips #datascience #machin
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@itsallykrinsky
3 options to showcase your ML projects ⬇️ ✨ Dash by Plotly ✨ Gradio ✨ Streamlit #techcareer #datascientists #careergrowthtips #datascience #machinelearning #personalprojects
#Plotly Reel by @datacamp - Want to go beyond static charts in Python? Plotly lets you build interactive, browser-based visualizations. Perfect for dashboards, reports, or explo
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@datacamp
Want to go beyond static charts in Python? Plotly lets you build interactive, browser-based visualizations. Perfect for dashboards, reports, or exploring large datasets. In this beginner project, you’ll: - Build dynamic stock charts - Analyze McDonald’s, Starbucks & more - Uncover real financial trends - Learn Plotly hands-on 🔗 in bio.
#Plotly Reel by @tech.ashishh - Complete and practical 60 day plan 👉 Follow & Comment "roadmap" to get this directly in your DM !! 👉 Around 2-3 hours per day, that covers SQL, Ex
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@tech.ashishh
Complete and practical 60 day plan 👉 Follow & Comment "roadmap" to get this directly in your DM !! 👉 Around 2–3 hours per day, that covers SQL, Excel, Power BI, Python (Pandas, NumPy), Data Visualization, Statistics, Projects, and Portfolio building. 👉 Tools: SQL • Excel • Power BI • Python • Pandas • NumPy • Matplotlib • Seaborn • Plotly • GitHub . [data analyst, hiring, jobs, career coach, skill's, career, careers, resume, resumetips, interviewtips, data analysis, data scientist, data engineering, software development, developer, sql, coding] . SQL Power BI Data Analyst Data Analysts Data Analysis Data Science Data Engineering Data Engineer Business Analyst Prompt Engineer Github Microsoft India Weekend Interview Interview Questions HR ques Resume Resume writing Free Course Accenture skillup Careergrowth students . #dataanalytics #DataEngineering #exceltips #businessanalyst careergoals careerdevelopment careeradvice job jobs
#Plotly Reel by @sdw.online (verified account) - 5 websites with awesome data visualizations: 1. Flourish 2. R Graph Gallery 3. Plotly-dash gallery 4. Tableau Viz Gallery 5. Information is Beauti
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@sdw.online
5 websites with awesome data visualizations: 1. Flourish 2. R Graph Gallery 3. Plotly-dash gallery 4. Tableau Viz Gallery 5. Information is Beautiful What else belongs on the list? #dataanalytics #dataengineering #datascience #techtok
#Plotly Reel by @sandreke99 - Aprende el arte de la #VisualizaciónDeDatos 📊 con estas librerías de #Python 🐍 ⬇️ Sígueme para más contenido de data @sandreke99 . . . . . . . . .
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@sandreke99
Aprende el arte de la #VisualizaciónDeDatos 📊 con estas librerías de #Python 🐍 ⬇️ Sígueme para más contenido de data @sandreke99 . . . . . . . . . . . #visualizaciondedatos #datavisualization #dataviz #dataanalytics #dataanalysis #analisisdedatos #analiticadedatos #analistadedatos #cienciadedatos #datascience #cientificodedatos #matplotlib #seaborn #plotly #bokeh #wordcloud

✨ #Plotly Discovery Guide

Instagram hosts 6K posts under #Plotly, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.

#Plotly is one of the most engaging trends on Instagram right now. With over 6K posts in this category, creators like @priyal.py, @tech.ashishh and @knimesoftware are leading the way with their viral content. Browse these popular videos anonymously on Pictame.

What's trending in #Plotly? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.

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Content Performance Insights

Analysis of 12 reels

✅ Moderate Competition

💡 Top performing posts average 687.8K views (3.0x above average). Moderate competition - consistent posting builds momentum.

Post consistently 3-5 times/week at times when your audience is most active

Content Creation Tips & Strategy

🔥 #Plotly shows high engagement potential - post strategically at peak times

📹 High-quality vertical videos (9:16) perform best for #Plotly - use good lighting and clear audio

✍️ Detailed captions with story work well - average caption length is 608 characters

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