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Summary

Data Translation and Visualization Based on Zoumalou Slips
  • Introduction
  • Methodology
  • Summary
  • Translation
  • Visualization
  • Link

    • Summary

    In the visualization part, we first extracted numerical data from texts in the database using Python, such as drought severity, rented land area, tenant status, rental payment time etc. Then we classified and organized data to analyze the agricultural condition in the period of the 4th to the 5th year of Jiahe. Finally, we visualized data using Python libraries and Excel.

    After the data processing and visualization, we observed some related results which may be meaningful to the further study of Zoumalou Slips.

    • First, we analyzed the relationship between tenant status and rented land area. We found that within 10 kinds of tenant statuses, male civilians account for most of the rented land area, while soldiers account for the smallest proportion. But for per capita rented land area, the average rented land area of soldiers is the largest.
    • Second, we analyzed the rental payment time recorded in the data. The payment period starts from September and continues until March of the following year, and the majority is concentrated in November and December, which is consistent with the harvesting period and the final confirmation time of rent.
    • Third, we analyzed the area of two different types of land regarding different regions. According to the results, standard field accounts for the largest proportion in all regions, which means in most of the cases, the renting period and rent are regular.
    • Fourth, we analyzed the area of drought land in different regions and different years. The drought was commonly encountered and was relatively severe in certain regions like Baqiu. In addition, the severity of drought also varies in different regions and different years.

    We presented those intuitive correlations between different pieces of information and hope they could be helpful for researchers studying the historical context of this specific area during the time period.