2025-11-24
We are in the process of checking the arithmetic of the Bills of Mortality, both its internal consistency as well as the accuracy of our work, and are making our Jupyter notebooks of our analysis public. The notebooks take into account transcription errors, printing mistakes, illegible data, or duplicate data to capture a comprehensive analysis of the data.
Checking for duplicate transcriptions: This notebook analyzes duplicate transcriptions in the Bills of Mortality dataset to estimate the overall accuracy of our transcribed data.
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2025-08-25
Visualizing data quality and illegibility patterns over time
2025-07-02
Visualizing the seasonality of causes of death
2025-04-22
Mapping text analysis on suicides, drownings, and killings in the Bills of Mortality.
2025-03-24
Sparklines of plague and non-plague parish deaths
2025-02-27
Mapping plague and non-plague deaths
2024-12-12
Charting the causes of death from general bills
2024-10-04
Graphing the causes of death over time
2024-10-04
Graphing the causes of death per week
2023-06-27
Charting the causes of death
2023-06-06
Charting the causes of death from weekly bills
2023-03-27
Charting the completeness of our transcriptions
2022-11-21
We are in the process of building out a data API to support the data work we’re undertaking with the transcription of the plague bills. We anticipate hundreds of thousands of rows of data by the end of our transcription process, and we wanted an easy and efficient way to work with that data.
As part of our work in data-driven historical research at RRCHNM, we are building a data API to store and access data from databases.
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2022-11-11
One of the ways we are using the transcribed bills of mortality is in data visualization and mapping, in an effort to ask new questions and revisit old ones.
At the Southern History Association’s annual meeting in Baltimore, we presented preliminary work on data visualization and the data API. An interactive notebook on this early work is available on Observable for perusal (note, the page may take a moment to load the 100,000+ records).
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