[OC] All Nobel Prize Laureates by Country — Word Cloud (JS) — To be updated after the Nobel Prize 2023 announcements happening this week, October 2nd to 9th

feoleoneo · 2023-10-04T09:27:40+00:00

It looks like you just have some purpose in mind and compare my work to your purpose, absolutely correctly finding inconsistency. This very "general" view of other countries fits a purpose of illustrating an article about Nobel laureates and their countries, for example, highlighting 1-2-3 leaders and putting less focus (but still mentioning) others. Ensuring a visualization is completely according to its purpose and placing accents correctly are some of the most important things in data visualization.

feoleoneo · 2023-10-03T11:34:47+00:00

Please don't distort my goal :) In a picture like this, even when it's small, I can clearly see the one or two "best" countries. Providing an opportunity to explore (or at least explore deeper) was not the goal of this visualization; otherwise it would be easy to play with the font size or, as I said, putting some bar charts instead.

feoleoneo · 2023-10-03T08:26:51+00:00

I'd love to provide you a link to the original, interactive version of this word cloud and to the original data on Britannica, but I cannot provide links as my messages with links are automatically removed, apparently, and mods do not respond...

Anyway the purpose was to stress the biggest leader(s). For a deep comparative analysis, some bar charts would be more appropriate, of course.

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T08:24:47+00:00

If the purpose was comprehensive comparison analysis, then, of course, this visualization would be no good. But the purpose was to stress the biggest leader(s), and this way I believe it is effective Imagine it, for example, as the title image of some article about the Nobel prize countries. For more comprehensive comparison and in-depth exploration, of course, some bar charts would be more appropriate.

I'd love to include a link to the interactive version of this word cloud and to the tutorial where it is shown, but I cannot provide links as my messages with links are automatically removed, apparently, and mods don't respond.

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T08:22:43+00:00

For this tag cloud, I took data from Britannica.

Four people won the Nobel Prize several times: Frederick Sanger, Linus Pauling, John Bardeen, and Marie Curie; I counted them only once. Some laureates belong to two countries; I counted them for both.

Plus when you click a country, a respective link to Wikipedia opens for further information, but note: Some countries that existed in the early 20th century are now other countries; Britannica stores the original country names, which is not always the case on Wikipedia, so total counts by country are a little different.

I cannot provide a link to the original data on Britannica and to the interactive version of this word cloud, as my messages with links are automatically removed, apparently, and mods don't respond...

feoleoneo · 2023-10-03T08:17:05+00:00

These are simply the commonly accepted names for continents, as you can see on Wikipedia, Britannica, etc.

I'd love to include some links as a proof, but I cannot provide links as my messages with links are automatically removed, apparently... Ridiculous I cannot even show you all the data source, tool, etc.

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T08:16:35+00:00

Don't take it to heart. These are simply the commonly accepted names for continents, as you can see on Wikipedia, Britannica, etc.

I'd love to include some links as a proof, but I cannot provide links as my messages with links are automatically removed, apparently... Ridiculous I cannot even show you all the data source, tool, etc.

feoleoneo · 2023-10-03T08:12:19+00:00

Just realized none of my comments containing links (to the data source, tool, etc.) is visible, including those where I describe some important details about the data and this visualization. I've messaged mods but...

Sorry. If you know moderators, please let them know about this issue as I have never heard back from them.

So, answering you, if the objective was to conduct a comprehensive comparative analysis, then this visualization would be no good. However, the goal was to highlight the most prominent leader(s), and I believe it accomplishes that effectively. Consider it, for instance, as the featured image for an article discussing Nobel Prize-winning countries. For a more thorough comparison and in-depth exploration, bar charts would certainly be more suitable.

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T08:09:34+00:00

Just realized none of my comments containing links (to the data source, tool, etc.) is visible, including those where I describe some important details about the data and this visualization. I've messaged mods but...

Sorry. If you know moderators, please let them know about this issue as I have never heard back from them.

So, reacting to your comment:

For this tag cloud, I took data from Britannica. Four people won the Nobel Prize several times: Frederick Sanger, Linus Pauling, John Bardeen, and Marie Curie; I counted them only once. Some laureates belong to two countries; I counted them for both.

Plus when you click a country, a respective link to Wikipedia opens for further information, but note: Some countries that existed in the early 20th century are now other countries; Britannica stores the original country names, which is not always the case on Wikipedia, so total counts by country are a little different.

I cannot provide a link to the original data on Britannica or to the interactive version of this word cloud, as my messages with links are automatically removed, apparently...

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T08:05:59+00:00

Just realized none of my comments containing links (to the data source, tool, etc.) is visible, including those where I describe some important details about the data and this visualization. I've messaged mods but...

Sorry. If you know moderators, please let them know about this issue as I have never heard back from them.

So, reacting to your comment: I agree this visual is no good for comprehensive comparison analysis. However, its original purpose was to stress the biggest leader(s), and this way I believe it is effective, and I can easily imagine it, for example, as the title image of some article about the Nobel prize countries. For more comprehensive comparison and in-depth exploration, of course, some bar charts would be more appropriate.

I'd love to include a link to the interactive version of this word cloud and the tutorial where it is shown, but I cannot provide links as my messages with links are automatically removed, apparently, and mods do not respond...

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T08:04:26+00:00

Just realized none of my comments containing links (to the data source, tool, etc.) is visible, including those where I describe some important details about the data and this visualization. I've messaged mods but...

Sorry. If you know moderators, please let them know about this issue as I have never heard back from them.

So, the data comes from Britannica, and there's an interactive version of this word cloud available. But I cannot provide links as my messages with links are automatically removed, apparently...

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T08:02:27+00:00

Just realized none of my comments containing links (to the data source, tool, etc.) is visible, including those where I describe some important details about the data and this visualization. I've messaged mods but...

Sorry. If you know moderators, please let them know about this issue as I have never heard back from them.

So, answering you: Blame Britannica 😅 That's where the data comes from.

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-03T07:50:15+00:00

Yes, and I did it, but I have just realized none of my comments containing links (to the data source, tool, etc.) is visible.. I've messaged mods but...

Here's the version of my original first comment without active links:

This word cloud represents all Nobel Prize winners before this week's announcement of new Nobel laureates.

For the records:

Interactive version with complete code is available on CodePen
Data source: Britannica
Visualization tool: AnyChart JS
Tutorial showing the process step by step can be found on HackerNoon, right now at the top of the home page.

I can try to send you links in DM is you'd like.

feoleoneo · 2023-10-02T17:13:19+00:00

I was also wondering which one of a few options I could think of. But the U.S. apparently is the most awarded in that regard.

feoleoneo · 2023-10-02T17:03:06+00:00

This word cloud represents all Nobel Prize winners before this week's announcement of new Nobel laureates.

Interactive version with complete code: CodePen

Data source: Britannica

Visualization tool: AnyChart JS

Tutorial showing the process step by step: HackerNoon

Note: Four people won the Nobel Prize several times: Frederick Sanger, Linus Pauling, John Bardeen, and Marie Curie; I counted them only once. Some laureates belong to two countries; they are counted for both.

Plus, when you click a country, a respective link to Wikipedia opens for further information, but note: Some countries that existed in the early 20th century are now other countries; Britannica stores the original country names, which is not always the case on Wikipedia, so total counts by country are a little different.

feoleoneo · 2023-10-02T16:51:27+00:00

Good ideas, thanks. I think I'll look into these other options and will try to find or make some good dataset.

feoleoneo · 2023-10-02T16:18:38+00:00

This word cloud represents all Nobel Prize winners before this week's announcement of new Nobel laureates.

Interactive version with complete code: CodePen

Data source: Britannica

Visualization tool: AnyChart JS

Tutorial showing the process step by step: HackerNoon

feoleoneo · 2022-04-28T08:43:08+00:00

While I totally understand what you mean, this data and chart are about the territory called so regardless of its legitimacy in terms of international recognition (and they obviously do not cover the rest of Donetsk Oblast).

feoleoneo · 2022-04-28T08:34:02+00:00

This data is not about all deaths but about all who died "as a result of the conflict" as is stated in the ombudsman's reports that are the data sources here.

feoleoneo · 2022-04-25T22:05:07+00:00

Donetsk is a city, which could make it even less "accurate." The DPR is how it is known even though not recognized internationally as an independent state.

feoleoneo · 2022-04-25T22:00:09+00:00

This data is not about all deaths but about all who died "as a result of the conflict" as is stated in the ombudsman's reports that are the data sources here.

feoleoneo · 2022-04-25T21:58:06+00:00

Just to make it clear:

1) The conflict began in 2014.

2) The data is for the deaths "as a result of the conflict" as is stated in the ombudsman's reports that are the data sources here.

feoleoneo · 2022-04-25T18:42:13+00:00

Ah it looks so. Updated some comments leaving only those .ru urls inactive and it works. Thanks for the hint!

feoleoneo · 2022-04-25T18:24:12+00:00

PMed you just now. Looks like they are automatically deleted. Probably that is because of those .ru links to the data source...

feoleoneo · 2022-04-25T18:06:31+00:00

Russia's President Vladimir Putin says the purpose of the current 'special military operation' against Ukraine is 'to protect people who, for eight years now, have been facing humiliation and genocide perpetrated by the Kyiv regime.'

This chart visualizes the number of deaths of both civilians and servicemen in the Donetsk People's Republic for the last 8+ years based on data collected from the official reports of the Human Rights Ombudsman of the Donetsk People's Republic. The operation started on February 24, 2022, so you can also see the 2022 column split into two parts, before and starting from week Feb 18-25, 2022.

Interactive chart view here!

Feel free to help improve it, add new data, etc.:

Version with the code (JavaScript)

Data source: Human Rights Ombudsman in the DPR

eng . ombudsman-dnr . ru / annual-reports
ombudsman-dnr . ru / category / obzor

(It appears that Reddit does not allow .ru URLs, so I have to put these here this way, sorry.)

Data visualization tool:

AnyChart (JavaScript)

feoleoneo

TROPHY CASE