🎉 We’re thrilled to announce that Plotly.py, our graphing library for #Python, has surpassed an incredible milestone: 500 million downloads! A huge thank you to our amazing #PlotlyCommunity, whose contributions and support have made this possible. Since 2013, we’ve had 298 releases, over 240 contributors, and some game-changing features, including the launch of #Plotly Express in 2019, making data visualization easier than ever. Recently, we’ve rolled out new mapping capabilities with MapLibre integration, and we’re not stopping there! To our contributors and users: we couldn’t have done it without you. Here’s to the next 500 million! Read all the details in our latest blog by Nathan Drezner, Technical Product Manager at Plotly: https://lnkd.in/gAUw85G2
Plotly
Technology, Information and Internet
Montréal, QC 40,732 followers
The low-code framework for rapidly building interactive, scalable data apps in Python.
About us
Plotly offers Dash Enterprise, the premier data app platform for Python that enables organizations to collaboratively develop and deploy apps in a secure, scalable, managed environment. We're also the stewards of the open-source graphing libraries behind our namesake, bringing interactive data visualization to your web browser. With 89,000+ GitHub stars, 12,600,000+ downloads per month of Plotly open-source libraries, and 326,000,000+ total open-source downloads, Dash is the leading low-code platform for AI apps. These Dash apps give a point-and-click interface to models written in Python, vastly expanding the notion of what's possible in a traditional dashboard. Join us! https://plotly.com/careers/
- Website
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https://plotly.com
External link for Plotly
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- Montréal, QC
- Type
- Privately Held
- Founded
- 2013
- Specialties
- Data Visualization, Graphing, Dashboards, Predictive Analytics, Machine Learning, Data Analysis & Exploration, Scientific Modeling, Classification, Image Processing & Computer Vision, Advanced Analytics, and Business Intelligence
Locations
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Primary
5555 Avenue de Gaspé
#118
Montréal, QC H2T 2A3, CA
Employees at Plotly
Updates
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Since the Industrial Revolution, air quality has seen major fluctuations, influenced by factors like coal power usage, clean air legislation, and increasing automobile traffic. 🌬️ Join us for another Figure Friday with our Community Manager, Adam Schroeder! This week, we’re shining a spotlight on data from the Air Quality Stripes Project, highlighting PM2.5 air pollution levels in cities across the globe. Here’s how you can get involved: 1️⃣ Use the provided dataset to build your Plotly visualization or #Dash app. 2️⃣ Share your creation on LinkedIn or Twitter with the hashtags #FigureFriday and #Plotly by midnight Thursday (your time zone). 3️⃣ Join us for Figure Friday sessions at 12 PM EDT to showcase your work. https://lnkd.in/djQn49hK Join the #PlotlyCommunity and learn more about this week’s Figure Friday: https://lnkd.in/drM5dYJH
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Taking on Maven Analytics’ #MavenHospitalChallenge, #PlotlyCommunity member Muhammad Abdullah Asghar uncovered significant insights on American patients, encounters, procedures, and payers from 2011-2022. 🏥 Utilizing Pandas dataframe and #Plotly Express libraries, his findings include: • Out of 47,701 procedures, 12,110 were covered by insurance. • The average hospital visit lasted 7 hours. • Claims totaled a whopping $101,514,375.52, with an average cost per visit of $3,639.60. Explore all the detailed findings below ⬇️
Research Analyst @ Midas Safety | MBA,IBA | xAKTM |xCnergyico(BYCO) | Helping businesses 🔍 insights from data | Data explorer by SQL & 🐍 | Data Storyteller with Tableau/ Power BI 🧑🏻💻 |
It's been a while since I have worked on a challenge, and here I'm back with a new upload but this time with a bit of change. I took on the Maven Analytics #MavenHospitalChallenge, using Python's Pandas and Plotly Express libraries to drive insights and create compelling visualizations. It's amazing how a few lines of Python code, combined with the limitless capabilities of Pandas DataFrames, can transform raw data into meaningful stories 🖼 Here are some 🗝 insights I discovered from the provided data on patients, encounters, procedures, and payers: Patient Count: The hospital had 974 patients from 2011 to 2022. Gender Distribution: 51% male and 49% female. Race Distribution: 70% of patients were White. Geography: 55% of patients came from Boston. Visit Duration: The average visit lasted 7 hours. Top Reasons for Visits: Ambulatory (45%) and outpatient (23%). Peak Years: 2014 and 2022 saw over 3,000 visits each. Inpatient Stay: The average length of stay was 2 days. Procedure Duration: The average procedure took 33 minutes. Insurance Coverage: Out of 47,701 procedures, 12,110 were covered by insurance. Total Claims: $101,514,375.52, with an average cost per visit of $3,639.60. Revenue Changes: 2012 had the highest positive YoY change in revenue (105.6%), while 2022 had the largest negative change (-92.5%). I'm thrilled to share these insights and look forward to more exciting data challenges ahead! The code file is uploaded on my GitHub profile, and can be accessed from here: https://lnkd.in/egUrAQYS #DataAnalysis #Insights #HospitalRecordData #DataDrivenDecision #Python #Plotly
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📝 We want your feedback! The Plotly team is looking to better understand how our community uses our charting and graphing libraries. Your insights will help shape our future open-source strategy and planning for upcoming releases! Take our short survey (5-10 minutes) and share your thoughts on how often you use #Plotly and #Dash charts, what chart types you think are missing, and your favorite interactive features. 👉 https://lnkd.in/gddSbwYs Thank you for helping us make Plotly even better! 🙌 #PlotlyCommunity
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🎶 Last week’s #FigureFriday was all about exploring the musical vibes in the Spotify library! We explored a range of visualizations that captured the essence of different genres, top tracks, and artists, showcasing the power of data and creativity in music. Check out all the visualizations: https://lnkd.in/gVwGDqRk Participate in this week’s challenge: https://lnkd.in/gCesiixJ
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🌟 The Plotly team is excited to be at the Amazon Web Services (AWS) Summit Toronto next week on September 11! Dave Gibbon, Senior Director of Strategic Partnerships, and Domenic Ravita, VP of Marketing, will be representing #Plotly. Don’t miss the chance to chat with them about how #Plotly Dash Enterprise empowers data teams to collaborate, customize, and manage large-scale interactive data apps. Join us at booth 219 for a chance to win an Amazon Kindle! If you’ll be there, book time to chat with the team. https://lnkd.in/gvnTZfTM #AWSSummitToronto #AmazonWebServices
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Need a fun weekend challenge? 🤩 Check out this week’s #FigureFriday dataset! In line with our transition to MapLibre, this week’s dataset is the people-map.csv file, representing the most visited person(s) Wikipedia, the Free Encyclopedia page for each city or town from 2015 to 2019. 🗺️ Adam Schroeder, #Plotly Community Manager, poses some thought-provoking questions for you: • How can you enhance the sample map created by The Pudding? • Could a different type of visualization better capture the data story? • How would you envision a #Dash app for this data? Join the #PlotlyCommunity and get started with this week’s Figure Friday: https://lnkd.in/gCesiixJ
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Need some light reading? 📚 Check out the latest #Plotly updates that elevate your collaboration, control, and customization capabilities — enabling you to make a bigger impact with your data! Explore this month’s exciting events, catch a sneak peek of what’s on the horizon, and get inspired by the incredible projects our community members create with Plotly ⬇️
Plotly Newsletter, August 2024
Plotly on LinkedIn
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Want to learn how to build a Dash app that incorporates the Databricks DBRX #LLM? 👨💻 In our latest webinar, #Plotly Community Manager Adam Schroeder demonstrates how to create two Dash apps using the #DBRX LLM. The first app is a basic chat interface with Dash as the front-end. The second app takes it up a notch by utilizing Retrieval Augmented Generation (#RAG) to enhance the LLM's responses with additional documents. This advanced app can answer user queries based solely on a specific document or web page. Check out the video tutorial here: https://lnkd.in/g5T-HhXh
Data Apps in Python with Dash and DBRX LLM
https://www.youtube.com/
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📣 Plotly graphs are transitioning to MapLibre! #MapLibre is now the default rendering library for all our map-type charts in the upcoming minor releases of Plotly.js and Plotly.py. Releases for both libraries are out today, alongside new documentation! Start using the new traces by updating your projects and following the migration guide https://lnkd.in/gt_wfrw6. Check out the details and get ready for a smoother mapping experience with #Plotly 🔗 https://lnkd.in/gZRDzQ-P #Python #Dash #DataVisualization
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