Rebecca Hankey fe503a8476 My successes in this unit may seem small, but they ... are a huge deal to me as a learner and an educator. Historically speaking, statistical analysis has been a point of contention in my educaiton. It has stood in the way of many of my goals and each time has been a struggle. My biggest goal with this unit was understanding the format of Jupyter Labs and the pokemon lab. I enjoyed going through the server and the interface and understanding the way it analyzes data. I think that presenting data through this platform is really cool and interesting. This project was a challenge for me to compelte. Earlier this semester I began the project, but was unable to complete it due to the same issues we were having with the pokemon lab. However, we were able to sort those out which was amazing! Then, when I went back to finish the lab my work had not saved. I am sure that there was user error here, but what I am submitting here is the second attempt at the project and does not use the data that I initially had planned. I understand the core of the project and I know the steps to complete it, but the server, pandas, and other elements are not working again. So, I unforetunately only have the following to submit at this time. I am really proud of myself for not giviing up on the project and for trying to work back through the data, but I am disapointed in this project. I apologize for the state of the project overall, it is not up to my usual expectations. With my Engish background, I really love the idea of Juoyter labs and integrating it into the framework of English curriculum. For example, every year the studetns at my school (in English class) have to complete a reearch project. It is not only dat driven, but can be. The culminating assessment for this unit is a research paper and presentation. Students can choose their mediums; canva, powerpoint, etc. However, I think that Jupyter Labs would be an amazing option. Students could track their data easily, and analyze it while it synthesizes in real time.		2024-12-15 13:23:38 -05:00
data	Initial commit	2024-08-29 12:32:45 +00:00
.commit_template	Initial commit	2024-08-29 12:32:45 +00:00
argument.ipynb	My successes in this unit may seem small, but they	2024-12-15 13:23:38 -05:00
poetry.lock	Initial commit	2024-08-29 12:32:45 +00:00
proposal.md	Initial commit	2024-08-29 12:32:45 +00:00
pyproject.toml	Initial commit	2024-08-29 12:32:45 +00:00