Madison Chai

  Lead Vancouver's rate of New Building development has plummeted by nearly 90% since 2017, according to City of Vancouver data.    Excel Workbook Link and Explanation  The workbook   includes the original raw data along with the slice that highlights the drastic decrease in issued building permits for New Buildings.       As mentioned previously in Data Update 1, the original dataset contains information on Building Permit Issuances in the City of Vancouver from 2017 to 2024.  I've primarily analyzed the Type of Work column which broadly categorizes the permits into six classifications: Addition/Alteration; Demolition/Deconstruction; New Building; Outdoor Uses (No Buildings Proposed); Salvage and Abatement; and Temporary Building/Structure.       The slice essentially features a pivot table that sums the number of projects within each permit category/"Type of Work" category from the years 2017 to 2024.  Next to ...

What dataset will you use for your final report?  Issued Building Permits  Describe the dataset. What kind of data does it contain?       The 42,708 row dataset is for Building Permit Issuances in the City of Vancouver from 2017 onwards.  The building permits would be for instances such as construction, deconstruction, demolition, and development.  It contains information about application and permit approval timelines; the "Type of Work" the for building permit (e.g. demolitions, additions/alteration, new buildings, etc.); the "Property Use" on a macro scale (e.g. Culture/recreational, Dwelling, Institutional, etc.); the "Specific Use Category" of the building (e.g. Fitness centre, duplex w/ secondary suite, financial institution, etc.); and the building location information. Is there anything about your data that you don't understand? (i.e. what a column heading means). How will you find this out?       For the most part I un...

The infographic, " Who Is Most Likely To Murder You? " posted on Instagram by Mona Chalabi illustrates data from the US Bureau of Justice Statistics 2021 . It presents comparative statistics on female and male victims over five different victim-offender relationship categories in an artistic and visually grabbing way.  But do the added visual elements enhance clarity, or do they distract from the data's real message?  Mona Chalabi's Infographic "Who Is Most Likely to Murder You?" The first strength comes from the unexpected graphics that strike readers. Through coffin imagery of the murder rates of female and male victims across different victim-offender relationships, viewers are left with little choice but to explore the information further. Moreover, the bar chart organization is seemingly easy for readers understand.  The labels along the top of the chart clearly identify a comparison of female to male victims, and the contrasting yellow and purple color...