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&checkedLevels=0D1,2D1,3D1,4D1,5D1,6D1,6D2,6D3,7D2&refPeriods=20210101,20210101&dimensionLayouts=layout2,layout2,layout2,layout2,layout2,layout2,layout3,layout2,layout2&vectorDisplay=false

 

  

Comments

  1. Sarah Lopez15 March 2024 at 14:56

    Hi Nyamat! I really like the dataset that you have chosen. Does the original dataset contain which province or city has the least amount of post secondary education? If it does, maybe you could compare which province/ city has the highest and lowest post secondary graduates. Overall, great job!

    ReplyDelete
  2. Jin18 March 2024 at 18:57

    Hey Nyamat, I really enjoyed your update. As Sarah said, I was also wondering if the original dataset contained which province or city had the least amount of post-secondary education. Maybe you could find that for your next update but overall, great job.

    ReplyDelete
  3. Tarnjot18 March 2024 at 19:44

    The data you choose really very interesting and that which provinces has the least amount of post secondary education.and its really important also so i really like your work .
    Great work!

    ReplyDelete
  4. Anonymous18 March 2024 at 22:34

    I like your lead, it is clear and concise and describes the data set well.

    ReplyDelete
  5. LeytonZhang18 March 2024 at 23:51

    This comment has been removed by the author.

    ReplyDelete
    Replies
    1. LeytonZhang18 March 2024 at 23:52

      I really like your data summary. Learning is one of the most relevant topics in our lives. Your excel spreadsheet is so detailed that you can clearly see what you want to express. Very good assignment.

      Delete
  6. Haley Stock19 March 2024 at 08:13

    This topic was very interesting, and you did a great job with the data. This may be a nitpick, but perhaps something could be done about the double negative in the lead to clean it up. It might be easier for people to read as "People belonging to a visible minority have a higher chance of having post-secondary certificates, diplomas or degrees." Although this change, would change the focus of your lead, so it would be understandable if this change is not what you want.

    ReplyDelete
  7. Leslie Pham19 March 2024 at 08:43

    Hi Nyamat, you have a clear explanation of the data sheet. I also like also how succinct your lead is. Just one note, if you combine 2 slice sheet into 1, it would be easier to make a comparison without going back and forth between the visible minority community with non-visible minority.

    ReplyDelete

Post a Comment

Popular posts from this blog

Data Viz Analysis

Image
  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...
Read more