@sahiba.kaur.stats shared her personal project on Tableau Storytelling where she created insightful visualizations of how women are represented in newspaper and journal headlines. The project is extremely informative and lets you discover how the frequency of words associated with women changed over time in 4 different countries.
@okanrnt1 shared his personal project on Correlations Between The Metrics of The Best Startups, in which he demonstrated his genuine curiosity about the data, analyzed the data from many angles, created advanced plots such as pair grid and heatmap, and drew interesting conclusions.
Dataquest Project sharers:
@troodpa revisited his project on Top 3 Recommendations for App Development based on his new skills, analyzed over 1 million apps from Google Play and Apple store, gave recommendations on app development powered by outstanding visualizations and involving narrative, and suggested potential steps forward.
@jasperquak shared his project on Winning Jeopardy where he proposed some strategies to prepare for the Jeopardy contest by conducting a detailed analysis of over 200 000 questions and answers of the previous games and using efficient statistical techniques.
@abomayesan showed off their project on DSSE data science questions, which is noticeable for its eye-catching title, brief but precise storytelling, great visualizations, and curious conclusions.
In their project on Prison Break, @kchitty23 dug deeper into the data and went beyond the provided instructions finding answers to all the additional questions.
Project reviewers:
@OlutokiJohn, together with our Community Moderators, looked through other learners’ projects and provided them helpful feedback and the words of encouragement.
@m.awon shared an excellent project on Analyzing NYC High School data where he demonstrated his curious mindset by conducting a thorough background research, digging deep into the data, and explaining in detail each stage of the project. Moreover, he generated insightful and eye-catching plots to complement his findings.
@OlutokiJohn shared his project on Analyzing Helicopter Prison Escape Data where he used advanced additional libraries, created beautiful visualizations, and provided exhaustive comments on his observations. The project has a meaningful title, efficient output format, and, what’s more, John successfully implemented the helpful suggestions from @brayanopiyo18!
In her analysis on Star Wars Survey, @Bhagyashree showed off her ability to work with a completely new topic for her, explored the data from many angles, created amazing plots, provided curious observations, and wrote very detailed and insightful conclusions.
Project reviewers:
A special thank you goes to our project reviewers of this week @OlutokiJohn, @jesmaxavier, @Ezemonye_Omereji, and @sergibtrader, who, together with our Community Moderators, gave actionable feedback and encouragement to their peers.
@Elena_Kosourova ,
Wow! This is so awesome of you all here. I am beginning to feel the i’s being dotted and the t’s being crossed.
Thank you for this amazing recognition and a pat-on-the-back reward. Splendid!
Thank you so much. Being part of the Dataquest community is such a humbling and encouraging experience.
P.S, when posting my project, I forgot to give credit to a fellow community member who inspired me on how to rank schools. Unfortunately, his name has slipped out of my mind.
@Ezemonye_Omereji, @m.awon, you’re very welcome! Happy to hear that you’re enjoying our Community! Looking forward to seeing your new outstanding projects, reviews, and just posts in the Community!
Here are our numerous Community Champions for this week:
Dataquest Project sharers:
@m.awon shared another of his amazing projects, on Star Wars Survey, which is a must-read for its superb, clean and insightful visualizations, multi-faceted and profound data analysis, easy-to-follow code, smooth and involving narrative, and cool cover picture.
@brucemcminn shared his Power BI dashboard on 200 Years of GDP & Life Expectancy where he clearly tells the story of a long evolution of GDP and life expectancy globally and in different countries/groups of countries by means of compelling plots. Also, great attention to detail about the missing decade!
The project of @cayodey on Analysis of The Prison Break Helicopter Escapes, despite being his first one, is perfectly structured, gives the necessary background of the problem, clearly states the project goals, provides informative conclusions and explanations of all the observations, and supports the findings graphically.
Finally, I would like to shout out our amazing superwoman Community Moderator @Rucha who, in less than 1 week, successfully solved 4 questions, gave helpful feedback on 2 projects, and maintained fruitful discussions with other Dataquesters. Rucha, you’re on fire!
Thanks Elena, for these recognitions as we are learning and developing skills together. A wise man once said-“Brains, like hearts, go where they are appreciated.”
DQ has been so kind to me. The knowledge and support I’ve got from this platform are priceless. Thank you for your continuous encouragement. It has been such a great experience to be part of this community.
The project of @abomayesan on Building a spam filter using Multinomial Naive Bayes demonstrates perfect project structure, thorough explanations, interesting conclusions, and providing suggestions for further improvements of the algorithm’s accuracy. Moreover, @abomayesan tested his filter algorithm on real-world private data!
In his project on Hacker News Project, @OlutokiJohn applied helpful Python libraries rather than pure Python, visualized his findings, efficiently used text emphasis, and pretty-printed outputs. Also, John took into account the feedback that he received from his reviewers.
Happy to hear that you’re enjoying our Community! 
Looking forward to seeing your new outstanding projects, reviews, and just posts in the Community! 
