In my bar chart, I showed the number of Albany residents employed in a certain occupation. I Each bar is colored to represent a different occupation and included a slider to filter by year. My heatmap visualizes the birthplace and level of literacy of Albany residents, except New York, from 1850 to 1930. The data […]
Assignments– API, Web Scraping, Georeferencing, & Gender Inference. I found the assignments for this week quite interesting, if a bit overwhelming and confusing at times. For the most part, I was able to trial and error my through most of the hiccups I had, though this was less applicable in the Gender Inference assignment. I […]
There was definitely a learning curve with Python on this week’s assignments. There were some parts that I retyped multiple times only to realize the mistake was farther up than I was looking. Like many of my classmates, I also had to slow down to double check what words meant and how functions operated. I […]
WEBSCRAPING API GEOCODE GENDER INFERENCING This week was a lot of work for me, the most difficult of these assignments was the Gender Inferencing one. Explaining what each line does is certainly tricky. One of my issues with these coding/python assignments are that I have a very difficult time reading instructions, so I have to […]
So, this is a bit of a shocker to me but: this assignment made sense. Sure there was a moment at the beginning where I thought crying into my tea was the best option but after a bit of trial and error things just made sense. I’m not saying they were easy; they still took […]
Coding really is an entirely different language. Generally, what I found to be most difficult in all of these assignments was understanding the vocabulary and the syntax, and how they worked together to issue commands. I’m glad that we could copy and paste from different sections to put it all together because I’m not sure […]
I am still not sure I completely understand what it is I am doing. These assignments were challenging, but I think I am beginning to understand them a little better. I found the web scraping assignment to be the most difficult. I enjoyed the gender influence assignment because I found it helpful to try and […]
This week’s assignments definitely required a lot of focus and patience. Similarly to my classmates, I found myself making small errors such as writing “cvs” instead of “csv” or putting [] when it should’ve been (). I also struggled with the indentation, and this was the most constant error I got. I eventually figured it […]
Here are my assignments for this week! API Webscraping Geocoding Gender Inference I found all of these exercises to be really interesting concepts about coding. When I tried to go in and complete the functions and write the commands(?) though, I realized half of the problem was the fact that I misspelled a word. I […]
I would love to understand this, but I don’t. I really went in open minded, but I can solely upload files. Python and I are not friends, we do not speak the same language. I think the gender inference has the potential to be very useful in my own research, it would be nice to […]