Data literacy is "the ability to explore, understand, and communicate with data in a meaningful way." “Data Literacy Explained: Definition, Importance, Examples, and More.” Tableau, https://www.tableau.com/data-insights/data-literacy/what-is. Accessed 30 Oct. 2022.
For quantitative history, our data is numbers. When we use numbers to study the past, we ask ourselves:
- When, where, why, and how were these numbers created?
- How were these numbers passed on or kept?
- What is the crediblity of the numbers?
- What do the numbers tell us about the past?
Historians can use simple or advanced statistics to understand the past. We will be using simple statistical and number-related skills to investigage the past.
To begin, create a table (insert – table in Word or google docs) with the following information about you. Do not insert actual data, only categories of data. Please include seven (7) different categories of data about yourself (that you are willing to share).
With each category, list who created it, why was the data created, where was the data created, how credible is the data, if historians in 500 years will be able to find this data, and the challenges historians in 500 years would face in using this data. Examples are below.
REMEMBER: Please list categories, not actual data. I want you to think about how we record information about people, not to share personal information.
Bonus: Include a category of personal data that relates to access, use, or making meaning with fresh water.