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Why visible minorities pursue Math and Business in post-secondary

People belonging to the visible minority population in Canada are twice as likely to pursue Math as a field of study in comparison to people not belonging to a minority group, Statistics Canada reports. According to an article in Education Week, many immigrant parents encourage their children to pursue Math and Science, believing the skills would lead to better career opportunities. A large population of people belonging to minorities where the native language is not English are also more likely to pursue a career in STEM since they find developing skills on numerical subjects more comfortable. An expansion in the number of computer science courses across the States drew more women and minorities to pursue it as a field of study. A study published in Demography also mentioned that immigrants are more likely to choose subjects that require the use of Math and logic rather than communication skills. Computer and information sciences is another popular field of study, ac...
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Data Update 3

Chart Question: Why is business the most popular field of study among the visible minorities? The percentage of visible minority population along with Indigenous people and persons with disabilities in companies reported under the Canada Business Corporations Act has increased in the last year, crossing the 10 per cent threshold, according to the Osler diversity  report . Since the number of visible minorities holding board seats in these companies has gone up, it would explain why business, management and public administration is the most popular field of study for them at 15.7% compared to 11.3% for people not belonging to a visible minority.  In the Corporations Canada annual  report  from 2022, Corporations Canada also identified that 23 per cent of the corporations in Canada have at least one member of a visible minority as a board of director, 12 per cent hold senior management positions, and 6 pe...
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Data Update 2

               Lead People not belonging to a visible minority have a higher chance of having no post-secondary certificate, diploma or degree. Excel workbook Link and Explanation https://docs.google.com/spreadsheets/d/1wI7tInZhzkU4vOyRtGZkUmbjO25CViqycUNO25Nk9Ic/edit#gid=0 My data slices are a comparison between the visible and not a visible minority population in the six programs --- no postsecondary certificate, diploma or degree; business, management and public administration; Health professions and related programs; social and behavioural sciences and law; engineering; and mathematics, computer and information sciences. Original Dataset Link Highest level of education by major field of study, visible minority and immigrant status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts https://www150.statcan.gc.ca/t1/tbl1/en/cv!recreate.action?pid=9810043001&selectedNodeIds=2D1&checkedLe...
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Datawrapper Chart

 
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Data Update 1

  1.      What data set will you use for your final report? (title of your dataset, include a link to it and claim it at the URL above).  Title: Canadian postsecondary students belonging to a visible minority group, by region of study  URL:  https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3710024801 2.      Describe the dataset. What kind of data does it contain?  The dataset contains data about post-secondary students belonging to a visible minority group in Canada from 2015 to 2021 by their region of study. The data from each year consists of the number of students belonging to these groups enrolled in certificate programs, diplomas, undergraduate, master’s and doctoral degrees. I am interested in seeing how this number has increased or decreased over the years and which region has seen a considerable change in enrolment.  3.      Is there anything about your data that you don’t understand?...
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Data Viz Analysis

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  The above image is a data visualization from The Guardian in an article about Australia's progress on the climate crisis.    Strengths of the above data visualization:  The data displays a large amount of information covering a period of 23 years.  It is easy to compare the Co2 emissions in 2010 because the bubbles are accompanied with values.  Since there are multiple values in the dataset, the bubbles made it easier to take in all the information at once.  I also like the chart because it explains the complexity of carbon emissions from different countries in a simple way.    Weaknesses of the data visualization:   It’s impossible to tell whether emissions increased or decreased in the first two circles (2001 and 2002). While the first circle is 1.76 per cent, the other is 2.22 per cent.  If the same data was in a bar chart it would have been easier to see a marked increase or decrease instead of comparing the area of two circle...
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Traffic Problem near a local high school

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