Welcome to July! 🎉
We're officially halfway through 2026—six months down, six to go.
This is a great time to pause, celebrate how far you've come, reflect on the lessons along the way, and get intentional about what you want to achieve before the year ends.
SELECT
Daily_Execution AS Discipline,
Non_Negotiable_Routine AS Consistency,
Unwavering_Focus AS Determination,
Reflective_Adjustments AS Growth
FROM Mindset_Elevated
WHERE Current_Month = 'Next Level'
AND Excuses = 'None'
ORDER BY Impact_Generated DESC;
@TheeAnalyst_ke@PeterFatd1 The subquery is to return values less than the overall Max salary.
So, Using the limit 1 will only return the very next highest value after the overall Max value
• Update the Age of the players as the dataset contains 2022 data
• Add Columns
• Delete columns
• Extract Data from columns
• Standardised the data in each column
•Remove irregular characters.
And others ...
Still learning and building .....
Cleaning of the 2022 FIFA Player Dataset.
The dataset contains the details of players who participated in the 2022 World Cup.
What I have done
• Unwrap the text to snap the row height back to a clean, standard size.
• Remove Duplicates
• Remove Duplicates
• Add Columns
• Delete columns
• Extract Data from columns
• Standardised the data in each column
•Remove irregular characters.
Still learning and building
@bur__a I started off with his YouTube playlist too.
His video really helped me in building the basics.
Hope it's me an amazing moments watching his YouTube videos?
Finally finished my Walmart Sales Analysis dashboard after juggling a heavy academic workload! 📊
Out of 1,000 customers, we are looking at $323.0K in Revenue and $15.4K in Net Profit. Here is a quick breakdown of what the data is telling us: 👇