@kelechikalu3 @wanzulfikri @shanil199 @OlutokiJohn @Ezemonye_Omereji @artur.sannikov96 @Casandra_Hayward
Appearing on the list that helps people is like being from the red cross in the trenches .
Thank you all.
A&E
@kelechikalu3 @wanzulfikri @shanil199 @OlutokiJohn @Ezemonye_Omereji @artur.sannikov96 @Casandra_Hayward
Appearing on the list that helps people is like being from the red cross in the trenches .
Thank you all.
A&E
@Elena_Kosourova ,
This is from a thankful heart to you all.
I appreciate the rewards and always feel more motivated. Thank you.
Hey Elena,
Thanks so much to you and team for voting me part of the community champion for the week!
Also, congrats to @Casandra_Hayward , @kelechikalu3 , @Edelberth , @wanzulfikri, @OlutokiJohn, @Ezemonye_Omereji, @artur.sannikov96 , @Edelberth !
Here are our Community Champions for this week:
@wanzulfikri shared an outstanding interpretation of a Dataquest project on Prison Breaks implemented in a new programming language called Julia. His perfectly structured work encompasses the entire data science workflow from web scraping to creating beautiful plots, all complemented by excellent storytelling. Also, the project title is cool and intriguing, and the chapter Does love improve an attempt’s chances of success? is just amazing!
@alla.r14 shared her first but already great and professionally-looking project on Finding Heavy Traffic on I-94 where she dug deeper into the data beyond the provided instructions, made interesting observations at each step of the project, provided a concise narrative, and created insightful plots.
@wanzulfikri and @Casandra_Hayward, together with our Community Moderator @artur.sannikov96, did a great job this week reviewing other learners’ projects and providing them with valuable feedback.
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
Thank you for the award @Elena_Kosourova!
I really appreciate the kind words about my project, especially the ones about the title and chapter on love (tbh, I chuckle every time I read that chapter).
You’re very welcome, @wanzulfikri! Well, it was definitely a very creative approach to consider the data from that angle
Here are our Community Champions for this week:
@abomayesan shared his excellent personal project on Analysis of freecodecamp 2021 survey data where he brilliantly answered the question about what tech people are most interested in learning (as well as many other questions!) by providing laconic but clear narrative and creating wonderful compelling figures.
In his project on Creating ‘538-ish’ plots with matplotlib, @karl_karlsson applied an unconventional approach to the guided project on Storytelling Data Visualisation on Exchange rates. Karl attempted to replicate FiveThirtyEight plots which resulted in an excellent reference for anyone looking to improve their data visualization skills (just have a look at the last plot! )
@shaun.oilund shared their second but already professionally-looking and well-structured project on Profitable App Profiles which stands out for its efficient project navigation system, amazing visualizations, stylish summary tables, and a capturing storytelling and conclusions.
@cayodey shared his project on Finding Heavy Traffic Indicators on I-94 Interstate Highway which is noticeable for its straight-to-the-point narrative, informative plots, digging deep into the data, and curiosity about the reason behind his findings - a highly-valuable skill for a data scientist!
@ajiboderafiat shared an insightful Power BI project on Visualization of Life Expectancy and GDP Variation Over Time with a well-organized layout and meaningful visualizations that tell a compelling story of Life Expectancy and GDP evolution worldwide and by the part of world.
@wanzulfikri, @Casandra_Hayward, and @OlutokiJohn, together with our Community Moderator @artur.sannikov96, are our super-heroes who reviewed numerous projects of their peers and provided them with thorough and actionable feedback and precious words of encouragement.
@Edelberth shared interesting and helpful resources on Bike Share Data Systems and isnull() vs. isna().
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
Congratulations Champions You are making this Community better!
Thank you @Elena_Kosourova.
And thank you project sharers for the many interesting projects this week. I, and I expect many others, have learned a lot from reading them.
Congrats everyone and thank you @Elena_Kosourova for the encouraging write-up! Thanks to @Casandra_Hayward and @wanzulfikri as well for taking the time to review my project and to give some valuable advice!
Thank you very much, i really appreciate the nice gesture
Thank you @Elena_Kosourova for the recognition
It is amazing to be in this community.
@wanzulfikri @Casandra_Hayward, your reviews and feedbacks are highly appreciated.
Here are our Community Champions for this week:
@abomayesan shared his first but already great project in the R programming language on Covid-19 Analysis which stands out for its well-organized structure, brief but clear and exhaustive explanations of each step, insightful observations, easy-to-read code, and consistent code style.
@vishallbabu5 and our amazing Community Moderators @wanzulfikri and @artur.sannikov96 were of great help to our Community by reviewing other students’ projects and giving them valuable suggestions on what can be further improved in their works.
@Edelberth shared a list of numerous websites and blogs on data science topics.
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
Thank you very much @Elena_Kosourova. Thanks to the DQ community for their help in my learning progress.
Happy to be back here after a hiatus. Congratulations to other community champions for making this community the best for learning.
Congratulations to all the Champions
Here are our Community Champions for this week:
In his R project on Book Review Analysis, @abomayesan created an efficient data analysis workflow by exploring a book dataset. The project is well-presented, comprehensive, easy to follow, and can be used as an excellent reference for beginner data analysts. This project has also the second part, check it out too!
@shaun.oilund shared a project on Hacker News: Ask or Show where they explored the best time to ask questions on HackerNews. The project is noticeable for its helpful navigation system, clear explanations of each stage, and insightful visualizations which corroborate the findings.
@Johnsonk51502, @Ezemonye_Omereji, @yunana, and our always-helpful Community Moderators @wanzulfikri and @artur.sannikov96 did a wonderful job this week by checking other learners’ guided projects and giving them actionable feedback and encouragement.
@wanzulfikri found and shared a fascinating article-project where the author masterfully used the data to explore how many times her and her boyfriend’s paths criss-crossed before they met. An absolute must-read!
@Dechamp shared an alternative, more elegant solution to the question on analyzing sales by country from the guided project on Answering Business Questions Using SQL.
@Edelberth shared information on an ongoing Data Science Blogathon and a useful resource on data retrieval tools.
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with: