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SQL 50 Challenge – Day 3 💻 Today’s problem: Big Countries Goal: Find countries with • Area ≥ 3,000,000 OR • Population ≥ 25,000,000 Key concept: Using the WHERE clause with logical conditions to f
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Day 2 — Find Customer Referee Filtering data with SQL. Find customers who were not referred by customer 2 using conditions and handling NULL values. Key concept: WHERE referee_id != 2 OR referee_id IS
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SQL 50 Days plan💌 New videos on the way. #python #dataanalysis #analytics
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🐍 Pandas DateTime Magic – ".dt" Accessor Explained Working with dates in datasets? Pandas makes it easy using the ".dt" accessor. With ".dt" you can quickly extract useful parts of a datetime colum
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Mastering data reshaping in pandas 🚀 In this video, I break down how to use stack(), unstack(), and transform() to reshape DataFrames like a pro. Learn how to move between wide and long formats, work
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Excel vs Pandas ⚔️ Pass or Fail in seconds 🔥 Ever wondered how to create a Pass/Fail column based on marks? In this video, I show Excel IF formula vs Python Pandas conditional logic side by side. Sam
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Master data analysis faster by learning how Pandas groupby compares to Excel grouping. In this video, I show you how to group data by Quarter, calculate sum and mean of Revenue, and organize results c
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Fixing un-delimited CSV like a pro with Python & Pandas 🐼⚡ When all your data is stuck in one column, Pandas still has the power to clean it. In this video I show how to parse, split, and structure u
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essential parameters that you should know while creating pandas series in python. #python #python #programmer
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Follow me. #python #datascience #pandas #dataanalysis #programming #analytics
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Fill missing values the smart way using pandas GroupBy + transform(mean). Clean your data by replacing NaN with group-wise averages for accurate analysis and better models. pandas, groupby, transform
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Value Counts in Excel vs Python 🧮🐍 Same task, two different tools. In this video, you see how to count unique values in Excel, and then how to do the exact same thing using Python. If you know Excel
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About @analysis_pandas

Rohullah Rahimi is a Instagram growing creator in the Reel creator category. With 33 followers and 12 posts, analysis_pandas's account shows a follower-to-following ratio of 4.7:1. View all content anonymously on Pictame - no login required.

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Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 5 days. Captions lean detailed, averaging 530 characters.

16.41% engagement rate — 228% above average for 1K-10K follower accounts.
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@analysis_pandas

Rohullah Rahimi

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#python#DataScience#dataanalysis#analytics#Python#Pandas#DataAnalysis#DataAnalytics

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Pandas | Data Cleaning | Python Short tutorials & real examples

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