Top Tweets for #Windowfunctions
Don’t Make this Mistake #sql while solving WINDOW function in #sql
#SQL #DenseRank #SQLInterviewQuestions #WindowFunctions #DataAnalytics #LearnSQL #DataAnalyst #SQLTutorial #AdvancedSQL #DataScienceWithSushant
Vídeo quentinho no canal!
Guerra aos Cursores ⚔️
https://t.co/EBQQUPjzON
Liberte seu banco de dados da agonia do processamento linha por linha!
#SQLServer #Cursores #RBAR #PerformanceTuning #BancodeDados #Tuning #SQLTips #Database #Dev #DBA #CTE #WindowFunctions #SetBased
If you can understand how data behaves, you stop guessing — and start explaining.
#DataAnalytics #SQL #WindowFunctions #DataStorytelling #LearningInPublic #TechSkills #AnalyticsJourney
Stop reading raw daily numbers and wondering if the trend is up or down 👇
SQL rolling average in one pattern:
AVG(revenue) OVER (ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW)
https://t.co/BN50VfNILQ
#SQL #DataAnalysis #WindowFunctions #DataEngineering #DataScience
GROUP BY collapses rows.
Window functions keep rows AND analyze them.
#SQL #DataAnalytics #WindowFunctions
mstdpTopN(X, S, window, top, [ascending], [tiesMethod]) — population standard deviation of top‑N values in a sliding window, ranked by secondary key S! 📉
#DolphinDB #WindowFunctions #TopN
mavgTopN(X, S, window, top, [ascending], [tiesMethod]) — average of top‑N values in a sliding window, ranked by secondary key S! 📊
Perfect for weighted‑ranking averages—like mean of top‑volume prices or top‑score metrics.
#DolphinDB #WindowFunctions #TopN
msumTopN(X, S, window, top, [ascending], [tiesMethod]) — sum the top‑N values within each sliding window, ranked by a secondary key S! 🏆
Ideal for weighted or ranked aggregations—like summing top‑volume prices or top‑score metrics.
#DolphinDB #WindowFunctions
🏆 RANK vs DENSE_RANK vs ROW_NUMBER
• ROW_NUMBER → unique
• RANK → skips numbers
• DENSE_RANK → no gaps
Know when to use which.
#SQL #Analytics #WindowFunctions
🧠 ROW_NUMBER() for Deduplication
Keeps one row, removes rest — safely.
#SQL #WindowFunctions #AdvancedSQL
Window Functions Use Case
📊 Window Functions in Real Analytics
Use cases:
• Running totals
• Rankings
• Moving averages
#SQL #DataAnalytics #WindowFunctions
SQL Tip of the Day #118: Use CUME_DIST() for Cumulative Distribution
SELECT name, salary,
CUME_DIST() OVER (ORDER BY salary) AS percentile
FROM Employees;
Great for payroll benchmarking!
#SQLTips #WindowFunctions #Analytics #TSQL
Want to rank rows within groups?
Try this:
RANK() OVER(PARTITION BY department ORDER BY salary DESC)
Ranks employees by salary per department — ties included.
Use DENSE_RANK() (no gaps) or ROW_NUMBER() (no ties) as needed.
#SQL #WindowFunctions #Ranking
Example:
SUM(sales) OVER(PARTITION BY region)
✅ Keeps all rows
✅ Shows total sales per region
✅ No GROUP BY needed
Perfect for dashboards + analytics 📊
#SQLTips #WindowFunctions
Window functions in SQL = magic ✨
They let you run totals, ranks, and comparisons without collapsing rows.
Think OVER(PARTITION BY ...), not GROUP BY.
Same data, more insights.
#SQL #WindowFunctions #DataScience
Window Functions Intro.
📈 Window Functions = Game Changer
Examples:
• ROW_NUMBER()
• RANK()
• DENSE_RANK()
Used heavily in analytics.
#SQL #WindowFunctions #DataAnalytics
SQL Tip of the Day #112: Use NTILE() to Bucket Data Evenly
SELECT NTILE(4) OVER (ORDER BY revenue DESC) AS Quartile
FROM Stores;
Easy way to group into percentiles.
#SQLTips #Analytics #WindowFunctions #LearnSQL
💡 SQL Interview Question:
👉 How can we use the EXISTS operator in an SQL query?
📩 DM us today | 📷 Visit: https://t.co/HVkeRK7Nsu
#SQLInterviewQuestions #SQLTips #WindowFunctions #GroupByVsWindow #SQLAnalytics #BackendDeveloper #DataAnalyst
💡 SQL Interview Question:
👉 How do you display a sequence of numbers using the LEVEL pseudo column in SQL?
📩 DM us today | 📷 Visit: https://t.co/HVkeRK7Nsu
#SQLInterviewQuestions #SQLTips #WindowFunctions #GroupByVsWindow #SQLAnalytics #BackendDeveloper #DataAnalyst
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