Data Update 1
Data Update #1
1. What dataset will you use for your final report? (title of your dataset, include a link to it and claim it at the URL above).
The data set I will be using pertains to the number of divorces and divorce indicators from Canada. I have chosen this dataset to study or analyze the proportion of divorces in Canadian society as well as the broader social issues triggered by divorce. I found this dataset at Statistics Canada.
2. Describe the dataset. What kind of data does it contain?
The dataset is a collection of data on the number of divorces from 1970 to 2020 in the provinces of Canada, which was released on November 14, 2022. It includes a variety of divorce indicators such as the number of divorces, crude divorce rate, divorce rate, age-standardized divorce rate, 30-year total divorce rate, 50-year total divorce rate, mean duration of marriage, median duration of marriage, median duration of divorce proceedings, and proportion of divorce applications that are filed jointly. Additionally, the data utilizes rates per 1,000 people, per 1,000 married individuals, and per thousand marriages as units of calculation. This helps to make the information more specific and understandable. These indicators not only assist in understanding the frequency of divorces in Canadian society but also in recognizing the social issues related to divorce, such as the divorce rates of marriages lasting 30 or 50 years and the median duration of divorce proceedings, reflecting the underlying characteristics and patterns through various divorce data.
3. Is there anything about your data that you don’t understand? (i.e. what a column heading means). How will you find this out?
The dataset is straightforward and simple to read. It provides options for displaying the data in columns and rows, allowing readers to choose a best viewing experience. When there is a lack of understanding regarding the criteria and definitions of the indicators, the dataset provides footnotes explaining the definition of the indicator and the range of data calculation. Overall, the dataset is relatively easy to understand. Apart from the age-standardized divorce rate, even with the footnote explanations regarding the calculation scope and criteria, it is still difficult to comprehend the underlying meaning of the data. Finally, reviewing the divorce data from 1970 to 2020 in this dataset, I did not find any parts that were difficult to understand.
4. What are some questions you hope to answer with your data? List at least three. (you don’t need the answers at this point)
- Which province has the highest and lowest divorce rates?
- What changes have occurred in the proportion of divorce applications that are filed jointly between 2000 and 2022?
- Between 2016 and 2020, in which year was the change in the divorce rate of marriages lasting 50 years most significant?
Hey, a very well and detailed explanation of the data. Amazing, I like how each question has been answered so elaboratively. Good questions with all the specifications.
ReplyDeleteHey Felix, your chosen topic is interesting and you did an amazing job describing the dataset. The question you choose should bring out some interesting results.
ReplyDeleteVery interesting topic! You described your dataset really well, and even without looking at the data I felt like a good understanding of exactly what you were writing of. Overall, great work!
ReplyDelete