某省民俗类非遗资源数据集
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1、按照级别对数据进行分组，然后统计每个组内的项目数量。使用类似哈希表（或字典）的数据结构，遍历数据集中的每一行，以级别作为键。如果该键已在哈希表中，则对应的值（数量）加 1，最终哈希表中每个键对应的值就是该级别的非遗项目数量。 2、项目类别与级别关联分析 规则：构建一个二维矩阵（或类似的数据结构），行代表项目类别，列代表级别。遍历数据集，每遇到一个项目，就在矩阵中对应的项目类别行和级别列的交叉单元格计数加 1。通过分析矩阵中的数值分布，查看不同项目类别与级别之间是否存在某种关联，例如某些项目类别是否更倾向于获得较高级别认定。 加工过程：首先初始化二维矩阵，矩阵的行数为项目类别的种类数，列数为级别的种类数，所有单元格初始值为 0。然后逐行遍历数据集，根据当前行的项目类别和级别找到矩阵中对应的单元格并将其值加 1。遍历结束后，分析矩阵中各单元格数值的相对大小和分布规律。
1. Group the dataset by their levels and count the number of items in each group. Use a hash table (or dictionary) data structure: iterate over each row in the dataset, using the level as the key. If the key already exists in the hash table, increment its corresponding count value by 1. Ultimately, the value corresponding to each key in the hash table represents the number of intangible cultural heritage (ICH) items at that level. 2. Association analysis between item categories and levels Rules: Construct a two-dimensional matrix (or similar data structure), where rows represent item categories and columns represent levels. Iterate over the dataset, and increment the count of the cross cell at the intersection of the corresponding item category row and level column in the matrix each time an item is encountered. By analyzing the numerical distribution in the matrix, examine whether there is an association between different item categories and levels, such as whether certain item categories are more prone to obtaining higher-level certifications. Processing procedure: First, initialize the two-dimensional matrix, where the number of rows equals the number of distinct item categories, and the number of columns equals the number of distinct levels, with all cells initialized to 0. Then iterate over each row of the dataset, locate the corresponding cell in the matrix based on the item category and level of the current row, and increment its value by 1. Upon completion of the iteration, analyze the relative magnitudes and distribution patterns of the numerical values in each cell of the matrix.
