https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
So I found this article in Wikipedia and thought it would be interesting to scrape the data for further manipulation, in the future I pretend to do a version of this dataset based in the english article and one containing blood types based in ethnicity too.
I scraped this data from the portuguese Wikipedia, that's why the country names are not in english, you can find the original article here: Distribuição do tipo sanguíneo por país.
Information was totally scraped using Python's libraries Selenium and BeautifulSoup4 and the csv file was made using Pandas library.
This dataset does not contain large amounts of data as you can imagine, so is not reliable to make any serious prediction or manipulation based in this, however it is fun to play with it.
Regarding the image, I have not found the credits to the creator, if you know who is or if it is you, let me know and I'll put the credits down here in the description or take it out if you want.
The whole notebook showing the process of gathering the data and organizing it to a heatmap can be found here: analysis-of-blood-types-data
The eight main blood types are A+, A-, B+, B-, O+, O-, AB+, and AB-. The most common blood type in the United States is O-positive, with around 38 percent of the population having this type of blood. However, blood type O-positive is more common in Latino-Americans than other ethnicities, with around 53 percent of Latino-Americans with this blood type, compared to 47 percent of African Americans and 37 percent of Caucasians. Blood donation The American Red Cross estimates that every two seconds someone in the United States needs blood or platelets, highlighting the importance of blood donation. It was estimated that in 2021, around 6.5 million people in the U.S. donated blood, with around 1.7 million of these people donating for the first time. Those with blood type O-negative are universal blood donors, meaning their blood can be transfused for any blood type. Therefore, this blood type is the most requested by hospitals. However, only about seven percent of the U.S. population has this blood type. Blood transfusion Blood transfusion is a routine procedure that involves adding donated blood to a patient’s body. There are many reasons why a patient may need a blood transfusion, including surgery, cancer treatment, severe injury, or chronic illness. In 2021, there were around 10.76 million blood transfusions in the United States. Most blood transfusions in the United States occur in an inpatient medicine setting, while critical care accounts for the second highest number of transfusions.
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https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
So I found this article in Wikipedia and thought it would be interesting to scrape the data for further manipulation, in the future I pretend to do a version of this dataset based in the english article and one containing blood types based in ethnicity too.
I scraped this data from the portuguese Wikipedia, that's why the country names are not in english, you can find the original article here: Distribuição do tipo sanguíneo por país.
Information was totally scraped using Python's libraries Selenium and BeautifulSoup4 and the csv file was made using Pandas library.
This dataset does not contain large amounts of data as you can imagine, so is not reliable to make any serious prediction or manipulation based in this, however it is fun to play with it.
Regarding the image, I have not found the credits to the creator, if you know who is or if it is you, let me know and I'll put the credits down here in the description or take it out if you want.
The whole notebook showing the process of gathering the data and organizing it to a heatmap can be found here: analysis-of-blood-types-data