@jay_mikee One sure thing is that every soul will taste death both good and evil. So I don't know exactly what they are celebrating.
Everyone should be concerned about their own soul.
HTT DATA CHALLENGE
DAY 8 OF 15: CHARTS
I am particularly excited about today because it's Data Visualization.🤩.
I'll be expressing my analysis using a simple Bar chart and a slicer attached.
#hertechtrailacademy#httdatachallenge#DataVisualization
@hertechtrail@Ogbonna42449096@phaibooboo@mychailblaise@AtiJoshua Hence, Data validation. With this feature, I was able to restrict customers from typing in wrong values. Now if a customer types a value that does not fall between A to C or 1 to 10 for Quantity, it shows Error with a corrective message. This repeats until the entry is Valid.
HTT DATA CHALLENGE
DAY 7 OF 15: DATA VALIDATION
Imagine a situation whereby there are only three colours of balls in a basket and you're asked to choose one, then you end up choosing a colour that does not exist in there!
#hertechtrailacademy#httdatachallenge#datavalidation
@hertechtrail@Ogbonna42449096@phaibooboo@mychailblaise@AtiJoshua Apart from this, in the rating session which is on the scale of 10, you might see very funny values which of course are less than 1 or greater than 10.
It can be really frustrating to analyze such data because that particular record might just be wasted.
@hertechtrail@happiness_ajayi@Ogbonna42449096@mychailblaise@phaibooboo@AtiJoshua ✔️ The Food and beverages product line generated more income even though more quantities of Electronic accessories were sold.
✔️ The average customer rating was 7 on a scale of 10.
✔️ More customers paid using E-wallet although more income was generated in cash.
HTT DATA CHALLENGE
DAY 6/15: DATA ANALYSIS
Today's challenge is generating meaningful insights out of a range of confusing numbers. So I'll be sharing my observation on the supermarket dataset I've been working on.
#hertechtrailacademy#hertechtraildatachallenge#datainsights
@hertechtrail@happiness_ajayi@Ogbonna42449096@mychailblaise@phaibooboo@AtiJoshua ✔️ I observed that more than half of the total income were generated from the female customers.
✔️ The city with the highest sales was Naypyitaw which is Branch C.
✔️ Registered customers of the company generated more sales than normal customers.
HTT DATA CHALLENGE
DAY 5/15: PIVOT TABLES
Oh yes I am here again.
Imagine having to work on a really large dataset and you're so confused about how to analyze it.
Straight to the point, Pivot tables are features that help to summarize a large amount of data into smaller tables.
HTT DATA CHALLENGE
DAY 4 OF 15: CONDITIONAL FORMATTING
Are you wondering why some values are reddened?
Are you also concerned about how I arrived at whatsoever condition I used?
Don't worry I can explain! 😁
#hertechtrailacademy#conditionalformatting#httdatachallenge