How to Create a Beautiful Python Visualization Dashboard With Panel/Hvplot
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- Опубліковано 29 чер 2024
- Hello lovely nerds! In today's video, I will show you how to create a beautiful (I think 🙈) data visualization dashboard in Python from your Jupyter Notebooks. I had a lot of fun doing this project and I hope you will have fun watching it as well. I'm so sorry for my stuffy-nose voice today (my hay fever season just started 🤦🏻♀️), but I hope you can still hear me clearly. Let me know in the comment if you found this project useful! Thank you for watching! 👋
🔑 Github repo for this project:
github.com/thu-vu92/python-da...
🔍 More on panel and hvplot packages:
panel.holoviz.org/
hvplot.holoviz.org/user_guide...
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🔑 TIMESTAMPS
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0:00 - Intro to project
0:33 - Dataset & choosing tools
1:50 - Intro to Panel package
2:24 - Project set-up
4:35 - Visualization ideation
5:46 - Coding the dashboard
10:06 - Serving dashboard
#dataviz DataScience #Datanerd #DataAnalysis #CoffeeData #ThuVu #dataanalytics
I love Jupyter Notebooks and I love Dashboards... I had no idea you could combine them so easily like this 🤯
Indeed, Python is so powerful and there's so much to discover. I love it (more now 😜)! Aw, I love them both too!! They are definitely the highlight of my days whenever I get to use them on the job 👯 Thanks for commenting and sharing this love for data viz, Luke 🙌
like, I'm wowed.
Please do more videos like this🙏
Big man Luke!!
Beautiful 👏 Nice one, More informative 👌
Love how you’ve drawn a layout of the dashboard and then actually implement them.
Haha thanks Chanin!! My original viz draft is much messier tho 😅🙈
I just discovered your channel and I'm already astonished by the amazing content.
Didn't know about this library and how it could be used to create dashboards. Thanks for sharing and keep it up! 🤙
Hey Adrià, yayyy thank you for discovering my channel 🙌🏽😄. So glad to hear you liked the content!! Still trying hard to keep more good videos coming! Thank you for watching and see you in coming vids!
@@Thuvu5 thanks to Al Bellamy's post on Linkedin! Sure, i'll be waiting for more great content!
amazing!! this is the first time I'm hearing about those two packages, will definitely explore them in my next projects, thanks!
If you want to deploy the dashboard as a web app to share with others, you can easily do deploy on Heruko or Azure etc. following the steps here panel.holoviz.org/user_guide/Server_Deployment.html
Please note the Jupyter-dash extension only enables you to start and embed the Dash Server. It does not enable the rich, 2 way interactivity between panel components across cells and python code. Panel is similar to ipywidgets in that regard and dash is not.
@@marcskovmadsen3786 Oh this is such a crucial difference! Panel is still way to go for building dashboard in Jupyter then! Thanks Marc! :)
@@Thuvu5 I personally use streamlit for my dashboards. Please make a video on that too I want to know how streamlit compares to other tools.
I use Jupyterlab and Panel. In my opinion, it is the most general and flexible solution from available dashboard tools (plotly dash, voila, streamlit). With panel 0.14.1 we have the capability of using it in Jupyterlite (Jupyter as static webpages, without need for server). For graphing, I found plotly to be more flexible and customizable than holoviews, hvplot, bokeh.
This is excellent! I like the pace and the brevity of the video. It's easily consumable and doesn't feel overwhelming. Keep up the good work!
That’s so kind of you! Thank you Paul 😃🙌
This was AMAZING! Thank you for sharing this with us.
This is so awesome, thank you! Just following along and writing out the code as you have laid out is great for learning!!
This is such a cool video! I am finishing my thesis on temporal sentiment analysis and really struggled to come up with some sort of easy to perform solution using Python for interactive dashboard. Thanks a lot!
Amazing tutorial, and you explained the whole process very well! I’m definitely going to start using Panel in my Jupyter Lab.
That’s awesome! Thanks for watching and commenting, Bob! 🙌
Thank you for sharing this. I’m glad to have discovered your channel. It inspires me to represent data in a very clear and smooth way in a dashboard via python. One more word “Excellent”.
You are so welcome! Thanks for watching 👋 All the best and have fun building your dashboard!
Thank you for sharing! Your videos are very enjoyable to follow and provide tremendous value.
I am so glad I ran into this channel. This is how videos on data science should be done. Thank you!
Aw thank you. I’m hoping it’ll still get better a video at a time 🙌
i'm so glad that i found your channel, I was looking for a way to create an interactive dashboard with python! 😊Thank you for this video . it was really informative.
So glad it was helpful! Thank you for your kind words Oluwadara! 🤩 Good luck with your project 🍀
This is awesome! Was using datapane for this mini project of mine, definitely switching to this now 🔥
Your professional position is exactly what I want for me: consulting (as myself), and living in the Netherlands.
Great stuff! I like this segment so much. I will try to learn all these ! Keep update on your contents. Thanks!
Great content and video, I was in need of this last week for project. I cleaned and transformed the data in python, whilst for the dashboard part take advantage of Looker... I'll try to do the same with voilà. 😁
This looks so great! This weekend I will do this as a small project also.. this kind of small projects are so great!
That sounds awesome!! Thanks for tuning in 🙌
Thank you for the wonderful video! It was very well explained and following it with code was a breeze. Keep up the good work! :)
this channel so educative and guide me so much ! i hope you can still continue after and after
Thanks, Irvan for letting me know 👋. I made videos having no idea it would help anyone, so really happy to hear this from you!!
Hey Thu VU, it was great learning from you happy to share that I have created my first panel dashboard successfully! Thankyou so much :)
I actually know nothing about data science, but your explanation is just so fantasitic that I decided to try it myself this weekend. Tons of thanks.
Yay sounds great Luoris! Hope you have fun doing this project! 🙌
Excellent walk-through of the project! I really like the pace and format
So glad to hear Ha!!
Thank you! I'll do this as a project by altering datasets and other features. Looking forward!
Thanks for sharing Thu Vu. Love working with dashboards myself.
This is absolutely incredible info, presented in a very pleasant to watch format. Thank you!
Thank you so much! That means a lot ☺️
Perfect. Thanks a ton. A very good idea you have succeedingly planted in my brain for my upcoming semesters project.
Hope to keep in touch❤
Just amazing, I work a lot with flask, metabase and powerbi, but I was looking for an option in python native. Thanks a lot.
i can see why Jupter notebook such a great way to see real time changes, hopefully i can duplicate what you did and learn more. thank you for sharing.
This was amazing. Thank you for such a clear video and instructions. My first data anaylsis project using python. Thank you!
Congrats on your first project! Glad it was helpful! 🙌
This was an amazingly thorough video. Thanks!
extremely clear and useful! Subscribed
Thank you so much for the tutorial. Very useful as I take the next step in my Python development, moving away from OpenPyXL and moving into interactive dashboards. Thank you thank you!
That’s awesome Eric!! 🙌
Thank you for sharing all these useful tools. This channel is amazing!
Greetings from El Salvador!
Hey Stanley! 👋 Aw thanks so much for this!! Thanks for tuning in from El Salvador! 🙌🇸🇻
When it comes to making data visualizations or dashboards I tend to use more ggplot2 and shiny. But this tool in Python looks amazing. I was trying to learn streamlit but I still preferred shiny. I will try panel by making this project.
Thanks for your amazing content!
Hey Matias 👋. Glad you liked this little project! ggplot is my fav library in R as well, and for Python I use mostly matplotlib and seaborn to make static graphs. Then I discovered this Python lib and I thought, oh it’s also cool to be able to click and filter the charts within the notebook, I feel like I missed out so much fun 😅.
Same here. Love shiny. Only problem could be R´s GPL-license should you want to use/sell your dashboard as a product in a comercial setting. That is if I understand correctly.
Fantástico. Vou aplicar hoje mesmo. Parabéns!
Your are amazing... The way you speak and present make me think about the topics more interestingly . And the energy level is something ... Else...
This is very very informative. I already like your Channel, precisely what I needed as an MSc AI student
i look forward for it
Thank you so much. I really needed this for for my current project😉
Wow thx you for this video, it's super clear, can't wait to try it out !
Amazing! I would like to see more videos on Panel!
Amazing. It is short but enough information for me to start apply it to my next project. Thank you very much
the velocity and topics are just on the point, im learning more here than i did in college jejeje , regards from México.
That's awesome! Thanks Tonk 🇲🇽
This is so amazing. Thanks for sharing, I'd love to see more
Aw thank you Maaz!! More stuff is coming.. Working on it ☺️
I will start my Data science career and I am so thankful I found your yt channel🥰 you will be my partner for the rest of my life, you are amazing 👏 I hope one day being on the other side helping a lot of people around the world🤗
This made my day, Karina!! 🙌 thank you so much for your kind words 💛
Thank you very much for this! I'll look it over and put it to good use.
Hi Thu Vu how are you doing? Finally I am able to do dashboard visualization with panel from this tutorial! I tried streamlit & dash but could not and long hours wasted time! Appreciate your excellent teaching way!
Thank you so much, just made my first Python dashboard because of you!!
That was a great video! I'd love watching a full length video of you coding a dashboard like this step by step, some day
Hey Filipe, thanks for watching, and thanks for the suggestion 😀. That sounds like a nice idea to try out. One thing I'm always afraid of is that people in general don't have time to watch things in real-time. So it's kinda like a dilemma haha
@@Thuvu5 actually, some college students like me do have the time to learn by watching you in real time
This is very great ! Hope to see more video like this
Absolutely love this, thank you!
super amazing Thu Vu, great n clear content, xlnt coverage. no brainer I subscribe. fair play to you, I used this dashboard for my project, made my life easy and elevated to project. keep up the great work. super thanks Thu, you are awesome.
Thanks for the sub! So glad the video helps you in your project! 🙌😊
Thanks for sharing! Love your work.
Thank you for sharing, this is awesome!❣
somehow I forgot about this channel after Jan but after this vid I am back to being regular viewer . Thanks for bringing my 2 most favorite things together
Hey Uttam! 👋 welcome back! Glad you enjoyed the video. Great to see your comment again 😁
It looks amazing! Thank you.
Absolutely extraordinary
I really liked it
I am determined to learn panel to design interactive dashboards in Python 😊
Your videos are amazing!!
Thank you for your encouraging words, Victor!! ❤️
Thank you so much! Amazing explanation🤩
I'm here just to congrats you for your amazing channel. Today we have a lot of DS chanels, but unfortunaly there are some that are not so... Inspiring. Yours are just the opposite! Really good material here, Thu! Congrats and keep doing this awesome job.
Aww this made my day! Thank you Yan for such kind supportive words. I’ll do my best and keep going with the channel 🙌💛🤗
@@Thuvu5 You're welcome! I got into data science field almost 5 months ago... Feel free to check my projects on LinkedIn! I sent you a connection request there!
very clean and straightforward code. thanks a bunch Thu.
Really happy you liked it! Thanks for commenting, Lukas!!
Thank you Thu Vu! This is amazing. Cant wait to apply it :))
That's awesome! Glad you enjoyed it 😁
Hey, awesome video and perfectly explained. Love that !
Thank you 🙌🙌
Obrigada pelas dicas! Incrível!!
Absolutely love this! ❤️
Aww thank you, Ronit! Happy to hear 😀👋
Great video, subbed!
This is a great channel, hope you get more subs. Keep up the excellent work
Aw thank you for this, Gabo!! I'll do my best to keep it up 🙌🏽
Just found your channel and this is great. New subscriber :)
Wow, your channel is so rich with great contents!
Hi Chibuike, thank you so much! Glad it was useful for you 👋
This content is great, why wasn't it recommended earlier!:)
-subscribed
Tremendously helpful ! i just created a gym tracker dashboard after discovering ur tutorial :)
Very extensive. Thanks for the lecture. ❤
Thanks for this knowledge! Excelent tutoral!!
Really good vid! Thanks for sharing this!
Fantastic! Thanks so much!!
Thank you so much for your support in my learning.
Such a great job. Thank you.
Thank you for sharing! It is a very neat tutorial! Keep it up, sis!
Aw I really appreciate it, Hoa 🤗. Thank you for tuning in!
im new with python , i have to say : thank you for this good job
Great Content Thu! I learned a lot from you
Happy to hear that! Thanks, Anh! 🙌🏽
Thanks...love your works...really help me...
Very educative! My project will definitely revolve around this video. KUDOS
Thank you for taking the time to make this guide. So pro!
Hey Matt! Thank you for taking the time to watch it 😉. I'm glad I made it as so many of you liked it so far. I definitely had fun researching and making the video as well (except for my stuffy nose, nothing to complain about 🤣).
@@Thuvu5 Yes, I love how in-depth your videos are and the resources you provide. Makes me excited to learn more. Keep up the great work.
@@Osteomorphis That made me so happy!! I feel really motivated now to keep making more videos 🤩. Thank you!
Great Work by Great People like you Thu Vu !!!!! Can we get Start to End Project video?
Thanks for the video!
I really love your videos, this is 🔥.
Aw thank you so much Gilberto 💜
Brilliant! Thank you
Hi. I also found out your channel as motivator. Thank you for your amazing work.
This is a great video, and very useful! Thanks for sharing
Love the fact that you draw on paper too. Loved the posted it joke!
Thanks, Stefan! 😄 I also found it really refreshing to draw things by hand on paper sometimes, given how much time we spend on electronics these days.
thank you .this is incredible session ,keep move on
Right On! Thank you very much!
Amazing! Loved these tips. Tks a lot.
I’m so glad. Thank you Rogerio!! 🙌
Amazing ! Thank you !
Wao! This awesome! You 've done a great job!
Thank you so much for this! 🙌
This is simply awesome. ❤️
Aw glad you liked it! 😀 Thanks, Vidyasagar!
This is new to me. Thanks a lot for sharing!
This is beautiful
Wow really nice. I am just getting in to data science and I think this can really help me!
Glad to hear! Thank you for tuning in 😃