Month: November 2020

*Note that this post is for the week of November 22nd to November 28th; I had this typed up and prepared to post this on the 28th but wasn’t able to post it until the following day*.

This week has been met with surprisingly positive news; I was successfully able to access all data utilizing JupyterNotebook, meaning I should be able to analyze all desired data without much issue. While there was no class session held last week due to Thanksgiving break, I experimented with accessing the data on my own time over the weekend, and was able to utilize Jupyter to open the data for analysis with ease. In retrospect, I wish I attempted this earlier on, since it worked much easier and more efficiently than expected, though there are still almost two weeks left in the semester to develop a specific question and perform analysis to answer the question. My goal for the next few days is to develop a specific question (which shouldn’t be too terribly difficult, since I already have several ideas in mind) and discuss the current status with my professor, and then perform the analysis of my data in Jupyter and begin writing up the final report by the end of the week.

**This is my post for the week of November 15th – 21st; I meant to post this on Friday Nov 21st but did not get the chance to**

Unfortunately the past week has been a rather inactive week in terms of progress on my main project. I still have not had the opportunity to test the datasets utilizing R/Python/Tableau; while a class meeting was held on Wednesday Nov. 18th, the issues I’ve had with accessing the dataset have largely hindered my opportunities at analysis, and to my knowledge, Prof. Davis was not able to access the datasets utilizing any available software, either. At this point, I am planning to speak more with Prof. Davis at our next class meeting, to discuss whether it may be better to utilize only the two datasets that I’ve been able to open, since the semester is coming to an end and it may be wise for me to simply begin work on my analysis.

This week, there was no zoom meeting held, due to Veteran’s Day falling on our usual meeting day (Wednesdays). I also unfortunately did not get the chance to work on any of the previous goals I had set (i.e. opening the large dataset in Tableau, Python or R), nor did I hear back from Professor Davis regarding whether or not he was able to successfully open the large datasets in any software or program. In the time between now and the next class meeting, I’m hoping to finally try to access the datasets using one of the aforementioned programs, and speak to Professor Davis more about the topic in our next class.

This week, I attended the class meeting on Wednesday, where myself and Professor Davis again briefly discussed the difficulty I had been having with opening the large data sets. I have not been able to make much progress with that, and am still not able to get the datasets opened in Excel or Sheets; I have not yet attempted opening them in R, Python, or in Tableau, which I am planning to attempt in the coming week. Professor Davis also said he would also attempt to try opening them in an analytic software, since he had not had the chance to so far; hopefully by the time of our class next Wednesday, one of us will have had some luck in opening the files, otherwise I’ll probably just end up using the Prey Length dataset (which, as I said before, would still offer a variety of different options).