@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!
Dataquest Project sharer:
@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.
Project reviewers:
@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.
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).
@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.
Dataquest Project sharers:
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!
@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.
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!
@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.
Project reviewers:
@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.
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.
@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.