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I think that for my final project I will compare the average amount made from from each of the different occupations of the Maine State Seminary occupations, with the amounts made by the cotton brokers from cotton exports. This would require the MSS dataset, particularly the donor occupation dataset. From there, I would need to… Continue reading Lab #10 Reflection 11/13/21

For my final project I would love to explore more about the Bates Mill Company mills in Lewiston because I have studied them quite a bit in other classes, although I am not sure if that is the direction we are supposed to go/if there is enough data available. I think that exploring the lasting… Continue reading Lab 9 Reflection 11/7/21

This is a chi-squared test we used in Lab 8 to calculate whether there was a significant difference between 1) female and male-identifying literacy rates and 2) household value and donated amount. The first 2 lines of code call the chisq.test() function and input the tables we created. The first table, table_gender_literacy contains the amount… Continue reading Lab 8 reflection 10/31/21 🎃

The first line of code uses the plot() function to create a scatterplot of the data for the number of bales and the cost per pound from the Bates Mill Company Financial information dataframe. The scatterplot above shows this data. While it is pretty spread out, it is clear that there is a general downward… Continue reading Untitled

I feel like I have been successful this semester with transferring my knowledge from Python into R and making connections between the two languages, but also realizing that there are a lot of differences. This has been challenging at times because I had to relearn certain things that I thought I knew how to do.… Continue reading Lab #6 Reflection 10/17/21

This activity was really helpful in understanding the “why” behind our project ideas. As discussed in Data Feminism and many other pieces we have read, the motivations and drive behind data collection and analysis is a vital part of contextualizing and drawing meaning from the data. Understanding our own personal biases and interests, and incorporating… Continue reading HCD Reflection 10/10/21

The Maine State Seminary ledgers have a lot of data packed that can be interpreted in many different ways. One thing that frequently messed us up this week was the order of the dates — they are not in chronological order. I think it is also helpful to understand where the donors are coming from,… Continue reading Context

In addition to the other comparisons we drew from the donors dataset, in number 42 we compared donation amounts from two people, Seth Hathorn and Oliver Pettingill. The data frame called “donors” contains data from the Maine State Seminary records. The data contains the year, day, and month of the donation, the first and last… Continue reading Lab 4 Reflection 10/3/21

I created another histogram that shows a visualization of the donations that exceeded the goal for each year from 1940 to 2020. From this graph you can see that the vast majority of the donations that did exceed the goal were under $100,000, with the highest frequency being under $50,000. The line of code used… Continue reading Lab 3 Reflection 9/26/21

The cotton weight data was sourced from original invoiced from the Bates Mill Company in the Bates College Archives. The picture attached is an image of this invoice. The price per pound of cotton at the time the invoice was written was $0.1025. Included on the invoice were sums of some subsets of the bales,… Continue reading 9/19/21 Lab 2 Reflection