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Project Update

 Digital Archive From the Civil Rights era in America, it was a pivotal time where the time of Jim Crow was over and brought about truer equality. As we saw in 2020 and after during the COVID pandemic, there are still injustices that are brewing. My goal with looking at the 1967 is to see where it had stemmed from seeing as how though similar riots may happen today, simply it was not on the level that the Long Hot Summer saw. My goal is to visualize the riots from the lack of data still surviving today. This topic is important to me partially because I had family tell me how it happened since they lived in an area where it broke out. That was only my spark, what got my passion to ignite was the similarity's I saw from today. These riots are seldomly talked about in todays culture let alone known and my goal is to further educate the consequences of racial injustice in America. I plan on using data from archives, maps, first account, and just about anything I can get my hands on see...
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Mapping, part 2

https://storymaps.arcgis.com/stories/6e94169bb6334cc9bf4393a90c5c5e72 Note for self: for final project, look into story map of visualization through the weeks of riots that caused a chain effect out of Newark, NJ. Like point A to point B type of map. Create an ArcGIS StoryMap that outlines your final project topic. Use this assignment to find possible datasets and/or contextual information (e.g., NHGIS data, other spatial layers in the ArcGIS Online/Living Atlas portals, historical maps from MapWarper.net, the Library of Congress, David Rumsey, or other IIIF archives, etc.). Experiment with different types of interactions and options to visualize/display information. If you are working with datasets, you can use the ChatGPT > Colab > Github workflow to create interactive charts, which can then be embedded in the StoryMap (embed option). Aim for 4-7 unique, interactive visualizations in the StoryMap (do more than one map with 5 different view changes, i.e., sidebar -- this will be...
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Mapping, part 1

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  For my blog post I want to have a population representation of 1830's America. More specifically the population difference from white and black Americans in this era. Obviously off the bat I noticed the difference in the country being different from Virginia to parts of modern day Canada still being disputed. But when you looked specifically on this data set by county, even though it was only a census. They still paint a picture of what the population density looked like especially in the south since there were some county's that had more enslaved peoples than the white population. The process to the get this dataset was quite easy with NHGIS and all you had to do was input the data as a csv and it went pretty smoothly. I'm sure out there someone has already visualized this dataset but it would still be interesting to see if someone could do it by county with the limited amount of data available.
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Digital Archives

 This will be my link to my omkea website featuring Historical Medical findings and Jewish works as a sample of works: https://tylerorofino.omeka.net/
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Charts and Graphs with Python

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In my code looking at the congress dataset, I mainly looked at military experience and time served in office and graphed the data using python. The link will be down below and ensure the dataset is named 'Congress.csv'. https://colab.research.google.com/drive/1hmc9hK_ZTVLS1lvLBKOLs9j-_CmHQMDs?usp=sharing Edit: these were the images that popped up on my end, here is the code used as well: import pandas as pd import matplotlib.pyplot as plt # Read the CSV file data = pd.read_csv( "Congress.csv" ) # Plotting military experience plt.figure(figsize=( 10 , 5 )) data[ 'COL_MIL' ].value_counts().plot(kind= 'bar' , color= 'blue' ) plt.title( 'Military Experience Distribution in Congress' ) plt.xlabel( 'Military Experience' ) plt.ylabel( 'Number of Congress Members' ) plt.xticks(rotation= 45 ) plt.tight_layout() plt.show() # Plotting total years plt.figure(figsize=( 10 , 5 )) plt.hist(data[ 'TOT_YRS' ].dropna(), bins= ...
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Note for self

https://doi.org/10.3886/ICPSR38167.v1 https://en.wikipedia.org/wiki/1967_Plainfield_riots#Aftermath https://en.wikipedia.org/wiki/1967_Newark_riots Long Hot Summer 1967 Data Visualization https://www.google.com/local/place/fid/0x89c3b9f41c20c219:0xcb42c61af9ae5e42/photosphere?iu=https://streetviewpixels-pa.googleapis.com/v1/thumbnail?panoid%3DZ1k_euR_M-9DWo_Z84OfCQ%26cb_client%3Dlu.gallery.gps%26w%3D160%26h%3D106%26yaw%3D326.98257%26pitch%3D0%26thumbfov%3D100&ik=CAISFloxa19ldVJfTS05RFdvX1o4NE9mQ1E%3D
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ChatGPT Prompts

https://tyler-orofino.github.io/folium-maps/
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