dustydee:

Hi, good job you have done here.
I will go for number 1 or 3 but here are my observations:
1. You choice of colours is very important. I will advise you stick to the "ftriendly" colours for the sake of the colour blind people. I am sure you will learn this as you progress.
2. It's nobel not noble - please correct the typo.
You mnetioned machine learning, I am interested in what topics you are learning and which machine learning tools you are using. For a starter, I will advice you first stick to data viz or analytics first before you advance to machine learning.

Ugaboy:


I started with machine learning, done, lol.

Data viz now completed.
On SQL.

WhatsApp me using my signature

Ugaboy:


Thanks, I will put all this to practice
I noticed that... tableau ain't always right in calculation, this is my second encounter.

But always accurate on Excel.

Someone on front, shaded on wrong calculation.

dustydee:

Nice, what's your preferred ML tool, Python. R or Matlab?

Administration1:


I beg to differ, Data Visualization is 50% aesthetics. If you present any of the above to me after commissioning you for a job, I'll simply add your email address to my block list.

Ugaboy:
Hi Nairalander and Data Science ethusiaste, remember my startup during February I guess on Tableau

https://www.nairaland.com/6973820/please-rate-first-data-visualization

Well, there have been lot of advance visualization i've done so far, I've completed some machine learning milestone project with 18 viz dashboard completed
Check the spelling of ‘matches’ in Total Matches at the top left corner.
here is a viz challenge i picked from LinkedIn this month

Tools:
1. Excel (Data cleaning)
2. Figma (Bin or Conatiner Design)
3. Tableau Public (Visualization)


Pls Which of the 3 can i submit


Some of us are football lovers, so I analysed one...added to show us...how i've gone.

Ugaboy:
Hi Nairalander and Data Science ethusiaste, remember my startup during February I guess on Tableau

https://www.nairaland.com/6973820/please-rate-first-data-visualization

Well, there have been lot of advance visualization i've done so far, I've completed some machine learning milestone project with 18 viz dashboard completed

here is a viz challenge i picked from LinkedIn this month

Tools:
1. Excel (Data cleaning)
2. Figma (Bin or Conatiner Design)
3. Tableau Public (Visualization)


Pls Which of the 3 can i submit


Some of us are football lovers, so I analysed one...added to show us...how i've gone.

peacettw:


People are indeed wired differently. If he had presented that to me, I will never contact him
again.

A professional will never go with those colors. And that is why i have a lot of respect for front end developers who understand the golden rule that simplicity goes a long way.

@op Dont let the critiquing deter you. We are all learning and must start from somewhere. I trust implicitly that you will improve with time.

Well done

Ugaboy:
Hi Nairalander and Data Science ethusiaste, remember my startup during February I guess on Tableau

https://www.nairaland.com/6973820/please-rate-first-data-visualization

Well, there have been lot of advance visualization i've done so far, I've completed some machine learning milestone project with 18 viz dashboard completed

here is a viz challenge i picked from LinkedIn this month

Tools:
1. Excel (Data cleaning)
2. Figma (Bin or Conatiner Design)
3. Tableau Public (Visualization)


Pls Which of the 3 can i submit


Some of us are football lovers, so I analysed one...added to show us...how i've gone.

movado19:



Hello, Ugaboy,

If you are looking for pure honesty, then I will tell you that you cannot submit ANY of these visualizations.
You do have very strong potential, however.

You'll need to remedy the following:
1. Spelling. One or two mistakes can be forgiven, but when it is everywhere, then it says that you do not really care about what you are
presenting or the consumers of the charts.

2. Harmonic colour combination. Just because we have so many colours at our disposal doesn't mean that we use them all at once.

3. Consideration for people with colour blindness.

4. Font types. Which fonts are appropriate for your viewers and what size will do the job?

5. Appropriate charts usage. This requires that you know your data types to the T, as this will enable you quickly select the appropriate charts
which can convey your findings/message easily.

6. 919...is this the combination of the dead and living Nobel Price Winners? If you say "yes", then your addition is wrong.

7. Sorting (ascending/descending) is off.

8. Your chart headings do not necessarily convey much. For example, what do you mean by:
- Top 5 University (Universities)? Is this within the United States alone or globally?
- Gender/Months Noble (Nobel) Price? What "exactly" are you trying to convey?
- Age by Years? This does not say anything. I know you most probably want to be succinct with your headings, but this is NOT the way
to do so.
- What does Shares mean?
...and so on and so forth...

9. You will need to make use of white space to lead the eyes.
Also, you do not employ proper visual cues such are direction, colour, font, shape, size, etc.

10. You can have all the interesting facts and information but if you are not able to convey it in a simple, appealing, and devoid of
chartjunk(Tufte) way, then all your work would end in the bin!

Do you watch shows like IRONCHEF? Do you see how they present their food? This is known as "PLATING" in the culinary world. It draws
the eyes and attention to the food my making use of elements and principles of food presentation.
This is the same concept for data visualization.

Like I said earlier, you have very great potential - no one was born with the excellent skills of a master data visualizer. This takes constant practice and then mastery.

I commend you for your boldness in putting your work out there for scrutiny. This takes COURAGE, so well done!

Ugaboy:
Hi Nairalander and Data Science ethusiaste, remember my startup during February I guess on Tableau

https://www.nairaland.com/6973820/please-rate-first-data-visualization

Well, there have been lot of advance visualization i've done so far, I've completed some machine learning milestone project with 18 viz dashboard completed

here is a viz challenge i picked from LinkedIn this month

Tools:
1. Excel (Data cleaning)
2. Figma (Bin or Conatiner Design)
3. Tableau Public (Visualization)


Pls Which of the 3 can i submit


Some of us are football lovers, so I analysed one...added to show us...how i've gone.

a1854:
I have a project for you on data visualization. Please
Let me know how to contact you

Ugaboy:
Hi Nairalander and Data Science ethusiaste, remember my startup during February I guess on Tableau

https://www.nairaland.com/6973820/please-rate-first-data-visualization

Well, there have been lot of advance visualization i've done so far, I've completed some machine learning milestone project with 18 viz dashboard completed

here is a viz challenge i picked from LinkedIn this month

Tools:
1. Excel (Data cleaning)
2. Figma (Bin or Conatiner Design)
3. Tableau Public (Visualization)


Pls Which of the 3 can i submit


Some of us are football lovers, so I analysed one...added to show us...how i've gone.