Meet our Community Champions for this week!

Thanks Elena for the recognition.
Congratulations :confetti_ball: :clap: :bouquet: :partying_face: to all the champions. Let’s continue making DQ community a better place to stay.

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That’s how I feel :dizzy:.

Thank you all. :100: it’s a very good place.

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Hey! This is awesome! :smiley: I never thought I’d get one of these, haha! I’m so amazed at this community and how much I’ve been able to learn from others. I hope my project is able to help others! I spent a long time working on it with the idea of “how would I want to read and visualize this if I had no idea what it was about?”.

Anyway, thanks again! :grin:

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@Elena_Kosourova, thank you for the consideration. Congrats :handshake: to the project contributors and reviewers. You guys are doing a great job in the community.

Also, a round of applause :clap: to our Community Moderator. Great job :trophy: reviewing all this.

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Thank you @Elena_Kosourova for this good news. Congratulations to the fellow champions too. Great work everyone.

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Here are the Community Champions for this week: :tada:

Individual Project sharer:

@evelin.kanda made an individual project on scraping the list of courses of the Dataquest Data Scientist path (adaptable also for the other Dataquest career paths) to track her current study progress at once. This is a super-creative and helpful approach to studying and applying the learned concepts in practice, Evelin!

Guided Project sharers:

  • @israelogunmola shared a well-detailed and highly-informative project on Exploring eBay Car Sales Data that stands out for its profound data analysis, perfect structure, smooth explanations, excellent visualizations, efficient output format, interesting conclusion and recommendations, and prompting possible way forward. Also, Israel implemented some suggestions from the previous reviews on his projects! :heart_eyes:

  • @noah.gampe shared an amazing perfectly-structured project on Creating A Kaggle Workflow that demonstrates cool storytelling, insightful visualizations, easy-to-read and well-commented code, digging very deep into the data (great job on family member analysis, dealing with collinearity, and trying different modules! :+1:), discussing pros and cons of various approaches, and suggesting further steps.

  • @jweekes13 shared a well-structured project on Finding Heavy Traffic Indicators on the I-94 with very straight-to-the-point explanations, precise and descriptive title, clearly stated project goal, eye-catching plots, and easy-to-follow and well-commented code.

Guided Project reviewers:

@jesmaxavier, @artur.sannikov96, @brayanopiyo18, @evelin.kanda, and @jithins123 did an awesome job reviewing other learners’ projects and giving them helpful suggestions.


Thanks a lot, guys, for your enthusiasm and participation in our Community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champion badge in our Community :medal_sports:
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Thank you @Elena_Kosourova ! I really appreciate it!

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Thank you for the support!

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Thanks, @Elena_Kosourova. Great work project presenters and moderators! :rocket:

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Thanks Elena for the recognition and congratulations to all the champions.

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Thanks @Elena_Kosourova! Well done, all champions, you are making this Community better:)

Happy coding :smile:

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Thanks to all of you for the work and time you have dedicated to others. :hugs:

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Thank you very much @Elena_Kosourova , this community is definitely a great place to be. I have learned a lot all through my time here, and I look forward to learning and contributing more.
Congrats to all the other Champions too :rocket:

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This week, we have a real boom of champion projects: 6 guided and 2 independent ones!!! :heart_eyes: :partying_face: :muscle: I think this is the record of our Community Champion program so far, but I can’t help it, they are all super-cool! :tada::trophy: You can see it for yourself:

Individual Project sharers:

  • @lewismurimi195 made his first but already great independent project on Exploration of World Population Data with the perfect project structure, informative explanations and conclusion, helpful recommendations, cool visualizations, and analyzing additional resources.

  • @nellykamau76 demonstrated her curiosity about the data and continued independently the project on Exploring Hacker News Site after the end of free lessons exploring the data on points and comments on the posts from many various angles.

Guided Project sharers:

  • The project of @israelogunmola on Heavy Traffic Indicators on I-94 is a must-read because of its perfect structure, very profound data analysis, curious findings (the situation in July, nighttime traffic, Friday nights, etc.), highly-optimized code, excellent function documentation and naming, clear and insightful plots, pretty-printed outputs, recommendations to avoid traffic, and suggestions for further analysis.

  • The project of @jesmaxavier on Vehicle Model Analysis in SQL stands out for its eye-catching title and subheadings, helpful navigation scheme, great project structure, smooth and informative storytelling, SQL formatting following best practices, amazing visualizations, and detailed recommendations.

  • @brucemcminn shared his project on 20+ Years of the Euro on FOREX where he explored the question very in-depth and from many sides, provided all the necessary background information and reasoning, created amazing visualizations (the animated map at the end is my favorite! :world_map:), suggested cool ideas for further research, and gave a list of references.

  • The project of @sv.dolgushina on Correlations and Dependencies of I-94 Traffic demonstrates a great approach to data validation before data analysis, excellent visualizations, meaningful output format, clear explanations, and exploring the data much beyond the given instructions.

  • In her project on Euro Exchange Rate, @Bhagyashree explored euro rates for 3 different currencies (in addition to developing the idea suggested in the instructions), made insightful well-annotated visualizations, and provided informative conclusions.

  • The project of @shas on I-94 Heavy Traffic Volume Indicators stands out for its laconic but informative storytelling, interesting observations, insightful plots, good graphical capture and reasoning about the drop in July, efficient output format, emphasis on the most important points, and a straightforward conclusion.

Guided Project reviewers:

@israelogunmola and @evelin.kanda, together with our Community Moderators, were of great help to the Community reviewing other people’s projects and giving them actionable feedback.

Useful resource sharer:

@Edelberth shared a library for GPU accelerated performance.


Thanks a lot, guys, for your enthusiasm and participation in our Community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champion badge in our Community :medal_sports:
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Elena, this is so exciting, thanks for the kind words. Thanks to all community members for recognizing my work.
Congratulations to all the other champions, we are cool :sunglasses:

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Another Monday, another pleasant surprise :sparkler: .

it is a very good excuse to know the jobs of people who are happy to encode.

Elena thank_you.max()

A&E.

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@Elena_Kosourova thanks for the recognition and kudos to all the other champions. You guys are doing an amazing job!!

Special kudos to you Elena for going through all this work!! You are on fire :woman_superhero:

To all the ladies out there, kudos on Woman’s Day! :bouquet: :woman_feeding_baby: :woman_health_worker: :woman_firefighter: :woman_artist: :woman_astronaut: :woman_climbing: :woman_cook:

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Well done, Champions! Congratulations for this record:)

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Thanks a lot, Max! :heart_eyes::herb::sunny:

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Thank you so much @Elena_Kosourova for considering my project and recognizing it.
To all the project reviewers,you are a doing a great job and helpful feedback on where to improve.Keep up the good work.I’m looking forward to more learning.Congratulations to all Community Champions too.

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