气温、气压和降水气象格点数据集

通过气象监测点采集多维度气象数据，开展清洗（剔除监测设备异常值、去除重复记录）与加工处理（校准数据精度、统一统计时段），形成完整且高质量的气象数据集，最终采用可视化方式（如气温变化折线图、气压趋势热力图）对数据进行直观分析，清晰呈现气象变化规律。

Multi-dimensional meteorological data is collected via meteorological monitoring stations. Subsequently, data cleaning operations (including removing abnormal values from monitoring equipment and eliminating duplicate records) and data processing procedures (such as calibrating data accuracy and unifying statistical time periods) are carried out, resulting in a complete and high-quality meteorological dataset. Finally, intuitive analysis is conducted on the dataset through visualization methods, including line charts for temperature variation trends and heatmaps for atmospheric pressure trends, to clearly present the regular patterns of meteorological changes.

搜集汇总

背景与挑战

背景概述

该数据集是由贵州习酒股份有限公司自行产生的气象格点数据，规模32G且每日更新，包含气温、气压和降水等关键气象指标，主要用于企业内部气候风险预防和决策优化，通过数据清洗和可视化分析支持精准气象趋势预估。