docs: added README + gitattributes

faizanxmulla · faizanxmulla · Mar 10, 2024 · Feb 8, 2024 · Feb 8, 2024 · Feb 22, 2024
commit 049620534e6e8154d1c1f781da1ea5a2dfdb45df
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+*.sql linguist-detectable=true
+*.sql linguist-language=sql
+*.sql text
diff --git a/datalemur-solutions/README.md b/datalemur-solutions/README.md
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+<p align="center">  
+	<br>
+	<a href="https://datalemur.com/profile">
+        <img height=100 width=60%  src="https://datalemur.com/_next/image?url=%2Flogo.png&w=256&q=75"> 
+    </a>
+    <br>
+    <br>
+</p>
+
+## Description
+The compiled solutions encompass all SQL questions, ranging from `Easy` to `Hard`, on [DataLemur](https://datalemur.com/questions). These solutions were executed on the integrated PostgreSQL environment.
+
+
+#### NOTE : *Referral code*
+
+Get access to `bonus content and exclusive prizes` for `both` of us by signing-up, followed by email verification using this [referral code link.](https://datalemur.com?referralCode=i4hQy31f)
+
+
+
+## Solution Table
+
+In the below tables, the columns indicate the following attributes related to the weekly challenge:
+
+- **ID :** Identity column for individual challenge
+
+- **Challenge :** Link to the SQL challenge hosted on [DataLemur][website-link]
+
+- **Solution Script :** Link to the solution SQL script hosted in this repository.
+
+- **Company** : Name of the company where the questions were posed during the interview.  
+
+
+### Table Of Contents
+  - [Easy](#difficulty--easy-🟢-2732)
+
+  - [Medium](#difficulty--medium-🟡-2736)
+
+  - [Hard](#difficulty--hard-🔴-1226)
+
+  - [Questions not included](#questions-not-included)
+
+
+#### Difficulty : **Easy 🟢** *(27/32)*
+
+| ID | Challenge | Solutions| Company|
+|:------:|------------|:---------:|:---------:|
+| 01 | [Histogram of Tweets](https://datalemur.com/questions/sql-histogram-tweets) | [Solution](1%20-%20Easy/01-histogram-of-tweets.sql) | X
+| 02 | [Data Science Skills](https://datalemur.com/questions/matching-skills) | [Solution](1%20-%20Easy/02-data-science-skills.sql) | Linkedin
+| 03 | [Page With No Likes](https://datalemur.com/questions/sql-page-with-no-likes) | [Solution](1%20-%20Easy/03-page-with-no-likes.sql) | Meta
+| 04 | [Unfinished Parts](https://datalemur.com/questions/tesla-unfinished-parts) | [Solution](1%20-%20Easy/04-unfinished-parts.sql) | Tesla
+| 05 | [Laptop vs Mobile Viewership](https://datalemur.com/questions/laptop-mobile-viewership) | [Solution](1%20-%20Easy/05-laptop-vs-mobile-viewership.sql) | New York Times
+| 06 | [Average Post Hiatus (Part 1)](https://datalemur.com/questions/sql-average-post-hiatus-1) | [Solution](1%20-%20Easy/06-average-post-hiatus-part-1.sql) | Meta
+| 07 | [Teams Power Users](https://datalemur.com/questions/teams-power-users) | [Solution](1%20-%20Easy/07-teams-power-users.sql) | Microsoft
+| 08 | [Duplicate Job Listings](https://datalemur.com/questions/duplicate-job-listings) | [Solution](1%20-%20Easy/08-duplicate-job-listings.sql) | Linkedin
+| 09 | [Cities With Completed Trades](https://datalemur.com/questions/completed-trades) | [Solution](1%20-%20Easy/09-cities-with-completed-trades.sql) | Robinhood
+| 10 | [Average Review Ratings](https://datalemur.com/questions/sql-avg-review-ratings) | [Solution](1%20-%20Easy/10-average-review-ratings.sql) | Amazon
+| 11 | [Final Account Balance](https://datalemur.com/questions/final-account-balance) | [Solution](1%20-%20Easy/11-final-account-balance.sql) | Paypal
+| 12 | [App Clickthrough Rate (CTR)](https://datalemur.com/questions/sql-app-ctr) | [Solution](1%20-%20Easy/12-app-clickthrough-rate-ctr-.sql) | Meta
+| 13 | [Second Day Confirmation](https://datalemur.com/questions/second-day-confirmation) | [Solution](1%20-%20Easy/13-second-day-confirmation.sql) | Tiktok
+| 14 | [Cards Issued Difference](https://datalemur.com/questions/cards-issued-difference) | [Solution](1%20-%20Easy/14-cards-issued-difference.sql) | JP Morgan Chase
+| 15 | [Compressed Mean](https://datalemur.com/questions/alibaba-compressed-mean) | [Solution](1%20-%20Easy/15-compressed-mean.sql) | Alibaba
+| 16 | [Pharmacy Analytics (Part 1)](https://datalemur.com/questions/top-profitable-drugs) | [Solution](1%20-%20Easy/16-pharmacy-analytics-1.sql) | CVS Health
+| 17 | [Pharmacy Analytics (Part 2)](https://datalemur.com/questions/non-profitable-drugs) | [Solution](1%20-%20Easy/17-pharmacy-analytics-2.sql) | CVS Health
+| 18 | [Pharmacy Analytics (Part 3)](https://datalemur.com/questions/total-drugs-sales) | [Solution](1%20-%20Easy/18-pharmacy-analytics-3.sql) | CVS Health
+| 19 | [Apple Pay Volume](https://datalemur.com/questions/apple-pay-volume) | [Solution](1%20-%20Easy/19-apple-pay-volume.sql) | Visa
+| 20 | [Subject Matter Experts](https://datalemur.com/questions/subject-matter-experts) | [Solution](1%20-%20Easy/20-subject-matter-experts.sql)| Accenture
+| 21 | [LinkedIn Power Creators (Part 1)](https://datalemur.com/questions/linkedin-power-creators) | [Solution](1%20-%20Easy/21-linkedin-power-creators-part-1-.sql) | Linkedin
+| 22 | [Highest Number of Products](https://datalemur.com/questions/sql-highest-products) | [Solution](1%20-%20Easy/22-highest-number-of-products.sql) | Ebay
+| 23 | [Spare Server Capacity](https://datalemur.com/questions/sql-spare-server-capacity) | [Solution](1%20-%20Easy/23-spare-server-capacity.sql) | Microsoft
+| 24 | [Top Rated Businesses ](https://datalemur.com/questions/sql-top-businesses) | [Solution](1%20-%20Easy/24-top-rated-businesses.sql) | Yelp
+| 25 | [Ad Campaign ROAS](https://datalemur.com/questions/ad-campaign-roas) | [Solution](1%20-%20Easy/25-ad-campaign-roas.sql) | Google
+| 26 | [Who Made Quota? ](https://datalemur.com/questions/oracle-sales-quota) | [Solution](1%20-%20Easy/26-sales-quota.sql) | Oracle
+| 27 (Bonus)| [Average Deal Size (Part 1)](https://datalemur.com/questions/sql-average-deal-size) | [Solution](1%20-%20Easy/27-average-deal-size-part-1.sql) | Salesforce
+
+
+#### Difficulty : **Medium 🟡** *(27/36)*
+
+| ID | Challenge | Solutions | Company |
+|:------:|------------|:---------:|:---------:|
+| 01 | [User's Third Transaction](https://datalemur.com/questions/sql-third-transaction) | [Solution](2%20-%20Medium/01-users-third-transaction.sql) | Uber
+| 02 | [Sending vs. Opening Snaps](https://datalemur.com/questions/time-spent-snaps) | [Solution](2%20-%20Medium/02-sending-vs-opening-snaps.sql) | Snapchat
+| 03 | [Tweets' Rolling Averages](https://datalemur.com/questions/rolling-average-tweets) | [Solution](2%20-%20Medium/03-tweets-rolling-averages.sql) | X
+| 04 | [Highest-Grossing Items](https://datalemur.com/questions/sql-highest-grossing) | [Solution](2%20-%20Medium/04-highest-grossing-items.sql) | Amazon
+| 05 | [Top 5 Artists](https://datalemur.com/questions/top-5-artists) | [Solution](2%20-%20Medium/05-top-5-artists.sql) | Spotify
+| 06 | [Signup Activation Rate](https://datalemur.com/questions/signup-confirmation-rate) | [Solution](2%20-%20Medium/06-signup-confirmation-rate.sql) | TikTok
+| 07 | [Fill Missing Client Data](https://datalemur.com/questions/fill-missing-product) | [Solution](2%20-%20Medium/07-fill-missing-client-data.sql) | Accenture
+| 08 | [Spotify Streaming History](https://datalemur.com/questions/spotify-streaming-history) | [Solution](2%20-%20Medium/08-spotify-streaming-history.sql) | Spotify
+| 09 | [Frequently Purchased Pairs](https://datalemur.com/questions/frequently-purchased-pairs) | [Solution](2%20-%20Medium/09-frequently-purchased-pairs.sql) | Walmart
+| 10 | [Supercloud Customer](https://datalemur.com/questions/supercloud-customer) | [Solution](2%20-%20Medium/10-supercloud-customer.sql) | Microsoft
+| 11 | [Odd and Even Measurements](https://datalemur.com/questions/odd-even-measurements) | [Solution](2%20-%20Medium/11-odd-and-even-measurements.sql) | Google
+| 12 | [Histogram of Users and Purchases](https://datalemur.com/questions/histogram-users-purchases) | [Solution](2%20-%20Medium/12-histogram-of-users-and-purchases.sql) | Walmart
+| 13 | [Compressed Mode ](https://datalemur.com/questions/alibaba-compressed-mode) | [Solution](2%20-%20Medium/13-alibaba-compressed-mode.sql) | Alibaba
+| 14 | [Card Launch Success](https://datalemur.com/questions/card-launch-success) | [Solution](2%20-%20Medium/14-card-launch-success.sql) | JP Morgan Chase
+| 15 | [International Call Percentage](https://datalemur.com/questions/international-call-percentage) | [Solution](2%20-%20Medium/15-international-call-percentage.sql) | Verizon
+| 16 | [LinkedIn Power Creators (Part 2)](https://datalemur.com/questions/linkedin-power-creators-part2) | [Solution](2%20-%20Medium/16-linkedin-power-creators-part-2-.sql) | Linkedin
+| 17 | [Unique Money Transfer Relationships](https://datalemur.com/questions/money-transfer-relationships) | [Solution](2%20-%20Medium/17-unique-money-transfer-relationships.sql) | Paypal
+| 18 | [User Session Activity](https://datalemur.com/questions/user-session-activity) | [Solution](2%20-%20Medium/18-user-session-activity.sql) | X
+| 19 | [First Transaction](https://datalemur.com/questions/sql-first-transaction) | [Solution](2%20-%20Medium/19-first-transaction.sql) | Etsy
+| 20 | [Photoshop Revenue Analysis](https://datalemur.com/questions/photoshop-revenue-analysis) | [Solution](2%20-%20Medium/20-photoshop-revenue-analysis.sql) | Adobe
+| 21 | [Consulting Bench Time](https://datalemur.com/questions/consulting-bench-time) | [Solution](2%20-%20Medium/21-consulting-bench-time.sql) | Google
+| 22 | [Cumulative Purchases by Product Type](https://datalemur.com/questions/sql-purchasing-activity) | [Solution](2%20-%20Medium/22-cumulative-purchases-by-product-type.sql) | Amazon
+| 23 | [Invalid Search Results](https://datalemur.com/questions/invalid-search-pct) | [Solution](2%20-%20Medium/23-invalid-search-results.sql) | Google
+| 24 | [Repeat Purchases on Multiple Days](https://datalemur.com/questions/sql-repeat-purchases) | [Solution](2%20-%20Medium/24-repeat-purchases-on-multiple-days.sql) | Stitch Fix
+| 25 | [Compensation Outliers](https://datalemur.com/questions/compensation-outliers) | [Solution](2%20-%20Medium/25-compensation-outliers.sql) | Accenture
+| 26 (Bonus)| [Best-Selling Product](https://datalemur.com/questions/best-selling-products) | [Solution](2%20-%20Medium/26-best-selling-products.sql) | Amazon
+| 27 (Bonus)| [NYC Area Code](https://datalemur.com/questions/nyc-area-code) | [Solution](2%20-%20Medium/27-nyc-area-code.sql) | Verizon
+
+
+
+#### Difficulty : **Hard 🔴** *(12/26)*
+
+| ID | Challenge | Solutions | Compaany |
+|:------:|------------|:---------:|:---------:|
+| 01 | [Active User Retention](https://datalemur.com/questions/user-retention) | [Solution](3%20-%20Hard/01-active-user-retention.sql) | Meta
+| 02 | [Y-on-Y Growth Rate](https://datalemur.com/questions/yoy-growth-rate) | [Solution](3%20-%20Hard/02-yoy-growth-rate.sql) | Wayfair
+| 03 | [Maximize Prime Item Inventory](https://datalemur.com/questions/prime-warehouse-storage) | [Solution](3%20-%20Hard/03-prime-warehouse-storage.sql) | Amazon
+| 04 | [Median Google Search Frequency](https://datalemur.com/questions/median-search-freq) | [Solution](3%20-%20Hard/04-median-search-freq.sql) | Google
+| 05 | [Advertiser Status](https://datalemur.com/questions/updated-status) | [Solution](3%20-%20Hard/05-advertiser-status.sql) | Meta
+| 06 | [3-Topping Pizzas](https://datalemur.com/questions/pizzas-topping-cost) | [Solution](3%20-%20Hard/06-pizzas-topping-cost.sql) | McKinsey
+| 07 | [Same Week Purchases](https://datalemur.com/questions/same-week-purchases) | [Solution](3%20-%20Hard/07-same-week-purchases.sql) | Etsy
+| 08 | [Repeated Payments](https://datalemur.com/questions/repeated-payments) | [Solution](3%20-%20Hard/08-repeated-payments.sql) | Stripe
+| 09 | [Server Utilization Time](https://datalemur.com/questions/total-utilization-time) | [Solution](3%20-%20Hard/09-total-utilization-time.sql) | Amazon
+| 10 | [Monthly Merchant Balance](https://datalemur.com/questions/sql-monthly-merchant-balance) | [Solution](3%20-%20Hard/10-monthly-merchant-balance.sql) | Visa
+| 11 | [Bad Delivery Rate](https://datalemur.com/questions/sql-bad-experience) | [Solution](3%20-%20Hard/11-bad-delivery-rate.sql) | DoorDash
+| 12 (Bonus)| [3-Day Rolling Earnings](https://datalemur.com/questions/3d-rolling-earnings) | [Solution](3%20-%20Hard/12-3d-rolling-earnings.sq/) | Stripe
+
+
+
+### Questions not INCLUDED : 
+
+| ID | Challenge |Difficulty |   Solutions    |   Company |
+|:------:|------------|:---------:|:---------:|:---------:|
+| 01 | [QuickBooks vs TurboTax ](https://datalemur.com/questions/quickbooks-vs-turbotax) | 🟢 | [Solution](1%20-%20Easy/quickbooks-vs-turbotax.sql) | Intuit
+| 02 | [Most Expensive Purchase ](https://datalemur.com/questions/most-expensive-purchase) | 🟢 | [Solution](1%20-%20Easy/most-expensive-purchase.sql) | Amazon
+| 03 | [Product Line Revenue ](https://datalemur.com/questions/revenue-by-product-line) | 🟢 | [Solution](1%20-%20Easy/product-line-revenue.sql) | NVIDIA
+| 04 | [Trade In Payouts ](https://datalemur.com/questions/trade-in-payouts) | 🟢 | [Solution](1%20-%20Easy/trade-in-payouts.sql) | Apple
+| 05 | [Webinar Popularity ](https://datalemur.com/questions/snowflake-webinar-popularity) | 🟢 | [Solution](1%20-%20Easy/webinar-popularity.sql) | Snowflake
+| 06 | [Mean, Median, Mode](https://datalemur.com/questions/mean-median-mode) | 🟡 | [Solution](2%20-%20Medium/mean-median-mode.sql) | Microsoft
+| 07 | [Pharmacy Analytics (Part 4)](https://datalemur.com/questions/top-drugs-sold) | 🟡 | [Solution](2%20-%20Medium/pharmacy-analytics-4.sql) | CVS Health
+| 08 | [Booking Referral Source](https://datalemur.com/questions/booking-referral-source) | 🟡 | [Solution](2%20-%20Medium/booking-referral-source.sql) | Airbnb
+| 09 | [User Shopping Sprees](https://datalemur.com/questions/amazon-shopping-spree) | 🟡 | [Solution](2%20-%20Medium/amazon-shopping-spree.sql) | Amazon
+| 10 | [2nd Ride Delay](https://datalemur.com/questions/2nd-ride-delay) | 🟡 | [Solution](2%20-%20Medium/2nd-ride-delay.sql) | Uber
+| 11 | [Google Maps Flagged UGC ](https://datalemur.com/questions/off-topic-maps-ugc) | 🟡 | [Solution](2%20-%20Medium/google-maps-flagged-ugc.sql) | Google
+| 12 | [Email Table Transformation](https://datalemur.com/questions/email-table-transformation) | 🟡 | [Solution](2%20-%20Medium/email-table-transformation.sql) | Meta
+| 13 | [Sales Team Compensation](https://datalemur.com/questions/sales-team-compensation) | 🟡 | [Solution](2%20-%20Medium/sales-team-compensation.sql) | Oracle
+| 14 | [Average Deal Size (Part 2)](https://datalemur.com/questions/sql-average-deal-size-2) | 🟡 | [Solution](2%20-%20Medium/average-deal-size-2.sql) | Salesforce
+| 15 | [Consecutive Filing Years](https://datalemur.com/questions/consecutive-filing-years) | 🔴 | [Solution](3%20-%20Hard/consecutive-filing-years.sql) | Intuit
+| 16 | [Marketing Touch Streak](https://datalemur.com/questions/marketing-touch-streak) | 🔴 | [Solution](3%20-%20Hard/marketing-touch-streak.sql) | Snowflake
+| 17 | [Compressed Median](https://datalemur.com/questions/compressed-median) | 🔴 | [Solution](3%20-%20Hard/compressed-median.sql) | Alibaba
+| 18 | [Average Vacant Days](https://datalemur.com/questions/average-vacant-days) | 🔴 | [Solution](3%20-%20Hard/average-vacant-days.sql) | Airbnb
+| 19 | [Same Week Purchases](https://datalemur.com/questions/same-week-purchases) | 🔴 | [Solution](3%20-%20Hard/same-week-purchase.sql) | Etsy
+| 20 | [Follow-Up Airpod Percentage](https://datalemur.com/questions/follow-up-airpod-percentage) | 🔴 | [Solution](3%20-%20Hard/follow-up-airpod-percentage.sql) | Apple
+| 21 | [User Concurrent Sessions](https://datalemur.com/questions/concurrent-user-sessions) | 🔴 | [Solution](3%20-%20Hard/concurrent-user-sessions.sql) | Pinterest
+| 22 | [Page Recommendation](https://datalemur.com/questions/page-recommendation) | 🔴 | [Solution](3%20-%20Hard/page-recommendation.sql) | Meta
+| 23 | [Reactivated Users](https://datalemur.com/questions/reactivated-users) | 🔴 | [Solution](3%20-%20Hard/reactivated-users.sql) | Meta
+| 24 | [Senior Managers](https://datalemur.com/questions/senior-managers-reportees) | 🔴 | [Solution](3%20-%20Hard/senior-managers-reportees.sql) | Google
+| 25 | [Event Friends Recommendation](https://datalemur.com/questions/event-friends-rec) | 🔴 | [Solution](3%20-%20Hard/event-friends-rec.sql) | Meta
+| 26 | [Matching Rental Amenities](https://datalemur.com/questions/matching-rental-amenities) | 🔴 | [Solution](3%20-%20Hard/matching-rental-amenities.sql) | Airbnb
+| 27 | [Weekly Churn Rates](https://datalemur.com/questions/first-month-retention) | 🔴 | [Solution](3%20-%20Hard/first-month-retention.sql) | Meta
+| 28 | [Uniquely Staffed Consultants](https://datalemur.com/questions/uniquely-staffed-consultants) | 🔴 | [Solution](3%20-%20Hard/uniquely-staffed-consultants.sql) | Accenture
+
+
+## References
+
+- [Instant SQL Formatter](http://www.dpriver.com/pp/sqlformat.htm)
+- [Github](https://github.com/quantumudit/DataLemur-SQL-Challenges?tab=readme-ov-file)
+
+
+## Contributing
+`Contributions` are always welcome !!
+
+If you would like to contribute to the project, please `fork` the repository and make a `pull request`.
+
+
+## Support
+
+Get access to bonus content and exclusive prizes for both of us by signing-up, followed by email verification using this [referral code link](https://datalemur.com?referralCode=i4hQy31f)
+
+If you have any doubts, queries or, suggestions then, please connect with me on [LinkedIn](https://www.linkedin.com/in/faizanxmulla/).
+
+Do ⭐ the repository, if it inspired you, gave you ideas of your own or helped you in any way !!