Data Scientist | Researcher @ ICAMMDA | Volunteer Mentor @ ALX Africa | Building @NexusDataHub for the next gen of data scientists | Math ยท Data ยท Impact
Joined May 2026
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I'm Dare, a Data Scientist, Mathematician, and builder.
Today I'm officially showing up in the data space on X.
A quick thread on who I am and what you can expect from this account ๐งต๐
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Your boss says the average salary is โฆ350,000. You're earning โฆ80,000. Nobody lied. But something is very wrong with that number.
This is a thread on mean, median, and mode, what each one actually measures, and when each one quietly lies to you. ๐งต
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Mean โ best for symmetric, outlier-free data
Median โ best for skewed data or when extremes exist
Mode โ best for categorical data or identifying common values
Use all three together. Compare them.
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Mean > median = right-skewed;
mean < median = left-skewed;
mean โ median = symmetric.
No single statistic tells the full story.
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Happy New Month! ๐
June is the perfect time to restart, refocus, or go harder on that goal you've been sitting on.
To every data learner, analyst, and scientist in my corner, this month is for us.
Drop your June goal below and let's hold each other accountable ๐๐ฅ
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What even is data?
Types every beginner must know
Qualitative โ Nominal, Ordinal ย
Quantitative โ Discrete, Continuous
Here's the complete beginner's guide to data types ๐งต๐
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So why does any of this matter?
Because the type of data you have determines EVERYTHING:
๐ Charts:
โ Bar chart for nominal/ordinal (categories)
โ Histogram for continuous (distributions)
โ Scatter plot for two quantitative variables
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๐ Statistics:
โ Mode for nominal data
โ Median for ordinal data
โ Mean, std deviation for quantitative data
๐ค Machine learning:
โ Qualitative data needs encoding before modelling
โ Quantitative data goes straight into most algorithms
โ Mixing them up breaks your model
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