electricsheepafrica/africa-ports-kenya

该数据集名为肯尼亚：每日港口活动数据与货运量估计，包含肯尼亚港口的日常活动数据和货物运输估计。数据集中的每条记录代表国家层面的聚合数据，包含港口呼叫次数、进出口货物量（以公吨计）等信息。数据集共有5,328行记录和31个特征（24个数值型，6个类别型），已划分为训练集（4,262行）和测试集（1,065行）。数据来源于HDX平台，由Electric Sheep Africa整理为适合机器学习的Parquet格式。数据集涵盖了2019年至2026年的数据，主要关注肯尼亚的港口活动，特别是拉穆和蒙巴萨等港口。

The dataset is named Kenya: Daily Port Activity Data and Shipment Estimates, containing daily port activity data and shipment estimates for ports in Kenya. Each row in the dataset represents country-level aggregates, including information such as port call counts and import/export shipment volumes (in metric tons). The dataset consists of 5,328 rows and 31 columns (24 numeric, 6 categorical), split into a training set (4,262 rows) and a test set (1,065 rows). The data was sourced from HDX and curated into ML-ready Parquet format by Electric Sheep Africa. The dataset covers data from 2019 to 2026, focusing on port activities in Kenya, particularly ports like Lamu and Mombasa.