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Posit PBC
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Добавлен 12 мар 2014
The open-source data science company for the individual, team and enterprise.
Data platform modernization in insurance | Kshitij Srivastava @ Milliman | Data Science Hangout
We were recently joined by Kshitij Srivastava, Director of Technology at Milliman to chat about data platform modernization at insurance companies.
Speaker bio: Kshitij leads technology and data operations for the Life and Annuity Predictive Analytics practice in Chicago. Kshitij's work includes data infrastructure management, data pipeline development and security operations for Milliman's industry leading experience studies for VA, FIA, RILA and Life products. Kshitij's work with Milliman clients also include leading data operations and actuarial modernization initiatives that have been outsourced to Milliman. Kshitij routinely consults with actuarial and data teams within the industry a...
Speaker bio: Kshitij leads technology and data operations for the Life and Annuity Predictive Analytics practice in Chicago. Kshitij's work includes data infrastructure management, data pipeline development and security operations for Milliman's industry leading experience studies for VA, FIA, RILA and Life products. Kshitij's work with Milliman clients also include leading data operations and actuarial modernization initiatives that have been outsourced to Milliman. Kshitij routinely consults with actuarial and data teams within the industry a...
Просмотров: 119
Видео
Your mission matters: A sustainable future with citizen data science at Dow
Просмотров 2882 часа назад
How do we keep food fresh? How do we use less water in our everyday lives? How do we make trash...valuable? How do we innovate to make the world a better place? The team at Dow Chemical is pushing the boundaries of material innovation for a more sustainable planet. To reach net zero carbon emissions by 2050, requires creativity and ingenuity from all different functions across the company. With...
Data driven decision making in pharma | Ning Leng @ Roche-Genentech & Jing Huang @ Veracyte
Просмотров 43314 дней назад
We were recently joined by both Ning Leng, Global Head, Data Sciences Acceleration at Roche-Genentech & Jing Huang, SVP of Bioinformatics and Data Science at Veracyte to chat about embedding modernized data science solutions in pharma to enable data driven decision making. Links mentioned in the chat: 🔗 R Consortium R Submissions Pilot 4 documentation portal: rconsortium.github.io/submissions-p...
How to create editable data tables in Shiny for Python
Просмотров 1,2 тыс.21 день назад
You built a beautiful Shiny app…but someone just asked you where the Excel doc is. Well, what if they had the ability to edit a table within the app, as if it were a spreadsheet?! Editable tables are a recently developed feature for Shiny for Python, allowing the table itself to become an input value, so your app can react to-and use-the data your user enters. On Wednesday, July 31st at 11 am, ...
Using data to help artists maximize their potential | Adam Husein @ Firebird | Data Science Hangout
Просмотров 37821 день назад
We were recently joined by Adam Husein, SVP, Data and Analytics at Firebird Music to chat about using data and analytics to help artists maximize their potential by empowering artists and managers to create more fans, deepen relationships, and measure impact to create material growth and engagement. Speaker bio: Adam is at the forefront of integrating data science with the dynamic needs of the ...
How to Perfect Your Python Dashboard with Advanced Styling! (HTML/CSS - Shiny for Python)
Просмотров 93221 день назад
This is part 5 of our multi-part series on creating professional dashboards with Shiny for Python. In this video, we dive into advanced styling techniques to enhance the visual appeal and professionalism of your Shiny dashboards. We'll cover: - Adding a logo and custom title - Making use of custom HTML elements - Using CSS to style Shiny components - Customizing Altair charts for a polished loo...
Real World Applications of Open Source in Public Health
Просмотров 608Месяц назад
Speakers from the following organizations joined to discuss how their team's work has evolved after learning R or Python through Posit Academy: Idaho Southwest Health District Oregon Health Authority Vermont Department of Health What is Posit Academy? Posit Academy is a mentor-led apprentice program that follows a project-based learning format. Like riding the bike or playing the piano, Posit A...
How to combine Matplotlib, Plotly, Seaborn, & more in a single Python Dashboard! (Shiny for Python)
Просмотров 1,1 тыс.Месяц назад
This is part 4 of our multi-part series on creating professional dashboards with Shiny for Python. In this video, we'll explore how to integrate popular Python visualization libraries like Matplotlib, Plotly, Seaborn, and Altair into your Shiny apps. This allows you to leverage your existing visualization skills and seamlessly include them in interactive dashboards. We'll cover: - Integrating M...
Accountability and transparency in AI systems | Sam Tyner-Monroe @ DLA Piper | Data Science Hangout
Просмотров 193Месяц назад
We were recently joined by Sam Tyner-Monroe, Managing Director, Responsible AI at DLA Piper to chat about working at the intersection of AI, law, and policy to ensure ethical, accountable, and transparent use of AI systems. Speaker bio: Sam Tyner-Monroe, Ph.D., is DLA Piper's Managing Director of Responsible AI. In this role, she leverages artificial intelligence and data analytics to ensure ac...
Data engineering for the 99% | Will Hipson @ HIAA | Data Science Hangout
Просмотров 433Месяц назад
We were recently joined by Will Hipson, Data Engineer at Halifax International Airport Authority to chat about scrappy data engineering for the 99% - managing the full data lifecycle from extraction to presentation with a team of one. Speaker bio: Will Hipson is a data engineer at a medium-sized Canadian airport at the early stages of democratizing its data access. Will has a PhD in Psychology ...
Peter Spangler, Former Head of Marketing Analytics at Lyft, Nextdoor, Toast | Data Science Hangout
Просмотров 276Месяц назад
Peter Spangler, Former Head of Marketing Analytics at Lyft, Nextdoor, Toast | Data Science Hangout
Data Science Hangout on all things posit::conf(2024)!
Просмотров 425Месяц назад
Data Science Hangout on all things posit::conf(2024)!
Matt Iorio and Rumil Legaspi @ Neuros Medical | Data Science Hangout
Просмотров 166Месяц назад
Matt Iorio and Rumil Legaspi @ Neuros Medical | Data Science Hangout
How to make your Python Dashboard look Professional! (Layouts in Shiny)
Просмотров 1,5 тыс.Месяц назад
How to make your Python Dashboard look Professional! (Layouts in Shiny)
Predicting Lending Rates with Databricks, tidymodels, and Posit Team
Просмотров 2 тыс.Месяц назад
Predicting Lending Rates with Databricks, tidymodels, and Posit Team
Alex Freberg @ Analyst Builder | Data Science Hangout
Просмотров 4272 месяца назад
Alex Freberg @ Analyst Builder | Data Science Hangout
How to make Interactive Python Dashboards! (Reactivity in Shiny)
Просмотров 1,3 тыс.2 месяца назад
How to make Interactive Python Dashboards! (Reactivity in Shiny)
Tom Mock @ Posit PBC | Data Science Hangout
Просмотров 5492 месяца назад
Tom Mock @ Posit PBC | Data Science Hangout
{shinylive}: Serverless Shiny Apps | Barret Schloerke | Posit
Просмотров 5 тыс.2 месяца назад
{shinylive}: Serverless Shiny Apps | Barret Schloerke | Posit
Analyze and explore data stored in Snowflake using R
Просмотров 1,6 тыс.2 месяца назад
Analyze and explore data stored in Snowflake using R
From Chaos to Clarity: Implementing Effective Data Stewardship
Просмотров 4092 месяца назад
From Chaos to Clarity: Implementing Effective Data Stewardship
How to automate your reporting with Quarto Dashboards and Posit Connect
Просмотров 4,6 тыс.2 месяца назад
How to automate your reporting with Quarto Dashboards and Posit Connect
How to Build, Deploy, & Share a Python Application in 20 minutes! (Using Shiny)
Просмотров 5 тыс.2 месяца назад
How to Build, Deploy, & Share a Python Application in 20 minutes! (Using Shiny)
Joe Cheng | Managing long-running operations in Shiny | Posit
Просмотров 2,7 тыс.3 месяца назад
Joe Cheng | Managing long-running operations in Shiny | Posit
Rafi Kurlansik @ Databricks | Data Science Hangout
Просмотров 3993 месяца назад
Rafi Kurlansik @ Databricks | Data Science Hangout
Laura Ellis @ Rapid7 | Data Science Hangout
Просмотров 3313 месяца назад
Laura Ellis @ Rapid7 | Data Science Hangout
Warren Hearnes @ OptiML AI | Data Science Hangout
Просмотров 3733 месяца назад
Warren Hearnes @ OptiML AI | Data Science Hangout
Liyang Diao @ ROME Therapeutics | Data Science Hangout
Просмотров 3963 месяца назад
Liyang Diao @ ROME Therapeutics | Data Science Hangout
Using your dataset in Shiny Templates | Carson Sievert | Posit
Просмотров 3,6 тыс.3 месяца назад
Using your dataset in Shiny Templates | Carson Sievert | Posit
How to develop and deploy a machine learning model with Posit
Просмотров 3,7 тыс.3 месяца назад
How to develop and deploy a machine learning model with Posit
Instead of asking how we can make trash valuable, would it be a better question to ask how we can make less trash?
Great. Thanks for sharing this
The dark mode button does not show up in my app
Thank you very much. The information is so useful even till now.
I know propaganda when I see it ☝🏻
❤
also bad noise gate
volume's super low
duckdb is awesome. Very happy to see this development
It's 2024, and you did great presentation. Of course presentation improvement kidogo . But you have given a great overview of this data set like it so much ❤. I am looking to make something of it
It's 2024, and you did great presentation. Of course presentation improvement kidogo . But you have given a great overview of this data set like it so much ❤. I am looking to make something of it
Useful content, thank you!
I wondering if this will work in large applications (over 100,00 datasets) .. its there a limitation with the stack limit e.g. Cstack_info() , options(expressions = 500000)).. i used HTML will yaml achieve more
you are a legend bro
Thank you
The Live Q&A Room is here: ruclips.net/user/live-nG5aco-g84?feature=share (we will be jumping over there in about 7-8 minutes!)
Great video. I'm going to quote you from a comment you made in the previous video about when after making all the graphs and representations in python, the manager (or the person who asks for the information), asks you to pass it to Power BI or Tableau. I prefer to use the same graphics and the style of these🤣🥲🥲👍 Saludos
Maybe it's just me, but it honestly seems like using Shiny in Python is significantly more work and there's a steeper learning curve than in R. Different py scripts, decorators, and other additions make me question if I want to move to Python for Shiny. Maybe I feel this way because I'm not a great Python programmer, I don't know.
Thanks priyanka and
This is amazing.
This is a risky situation for the many people who are drawn to upskilling, providing value, etc. from an anxious, imposter syndrome kind of place. Good luck, everyone, and maybe be so good that *you* can't ignore you.
Can't get access to the guide, it's asking for a Posit log in.
Hi there! Does this link work for you now? pub.demo.posit.team/public/predicting-lending-rates/lending-rate-prediction.html
@@PositPBC Yes! Thank you!
Brilliant presenttion, thank you! I actually came from 1990s-era dBase production systems, through a degree in economics which drug me through econometrics in R, wondering if there was a better way than CSVs. Kindred soul....
Congratulations!
This saved so much time and pain for me. Thank you for making this. Excellently put and presented!
great... thanks
Well done buddy, pandas help to everyone who use python and work with data
I can write R code alright; but I can't deploy my R-shiny dashboards. The ecosystem around deployment of r-shiny apps is so poor.
Hey Fonti, thanks for the nice talk. I found your picture with the stream of functions, the description campsite and so on very helpful, so I copied it to my notes. Thanks
So happy to hear that you found it useful!! ☺️
Seems to be outdated
I like shiny for R. It is mature enough to satisfy all your dashboarding needs if you are patient enough. However, I have recently tried to port one of my projects to shiny for python and the experience was awful. The experience in python is so different from what it is in R that you wonder why the shiny team at Posit even bothered to create a python version. Python has so many web frameworks that are mature and have big communities and diverse tooling behind them that it is not possible to compete with them. I was hoping the upside is that it would be a shallow learning curve for us R-shiny users but I found out that's not the case. So, why bother?
Hi there! If you're looking for the Panel Q&A you can jump over here too! ruclips.net/user/live9xTsNuLt3aQ
Could you please explain how to import the data when working with Shinylive using a quarto document?
How nerd am i from 1 to 10 if i recognised ggnot only from listening 😅
Interesting. Just started to research sports analytics and the use of the 'R' language. I just spent a little time on Deep Learning with PyTorch and got a little food image model working. I do a fan football website with some SVG images of plots from a Python app on Colts football. Wanted to level it up and maybe do some projections on Anthony Richardson the new Colts QB in 2024. First model written down the 'Mixed Effects Model'. Thanks for the look.
Can we have separate data filters for each card in a Quarto dashboard?
Hello! Feel free to post your questions on forum.posit.co/ for your specific use case, but the value boxes can showcase any R or Python variables: quarto.org/docs/dashboards/data-display.html#value-boxes
Good work on this, thank you
I can't set up a basic action, regardless of R. It shows green but in my test workflow I try to add everything from data folder, and commit & push to main (instead of master). But the test file is not pushed!
Los Aguacates!
Thank you!
Thank you
No way. R can be this fancy??
Woow he is the guyyy
Joe is a legend!
really appreciate the explanations
Would love to hear an update. Especially on binder
Thanks.... good lecture
Great tutorial, thanks!
Hey after doing meta or IBM data science course how one can get job or get in corporate
how did you load the dataset which called as 'tips'? it is not visible in the basic folder. it is confusing me.