项目进度跟踪数据集

1.数据采集：从电子卖场平台采集项目进度基础信息，具体包含：编号、上次编号、次数、项目名称和天数；
2.数据处理：1）对采集到的编号、上次编号、次数、项目名称和天数信息进行检查、修正和完善，确保数据的完整性、准确性和一致性；2）通过上次编号字段，将同一项目的多期进度数据串联，形成“项目名称→编号→上次编号→次数→天数”的项目进度完整历史数据链；3）计算每个项目的进度百分比，即（当前次数/总次数）*100%；4）根据天数字段，计算项目的平均进度速度（天数/次数）；5）最终形成包含“编号、上次编号、次数、项目名称、天数、进度百分比、平均进度速度”的数据链；
3.数据应用：1）提供实时的项目进度跟踪，帮助项目管理者监控项目状态；2）通过进度百分比和平均进度速度，评估项目的执行效率和预测项目完成时间。

1. Data Collection: Collect basic project progress information from electronic mall platforms, specifically including: ID, previous ID, frequency, project name, and duration (days);
2. Data Processing: 1) Inspect, correct and refine the collected ID, previous ID, frequency, project name and duration data to ensure data integrity, accuracy and consistency; 2) Link multi-period progress data of the same project via the previous ID field to form a complete historical project progress data chain structured as "Project Name → ID → Previous ID → Frequency → Duration"; 3) Calculate the progress percentage of each project, i.e., (Current Frequency / Total Frequency) * 100%; 4) Calculate the average progress speed of the project based on the duration field, i.e., Duration / Frequency; 5) Finally form a complete data chain containing "ID, Previous ID, Frequency, Project Name, Duration, Progress Percentage, Average Progress Speed";
3. Data Application: 1) Provide real-time project progress tracking to assist project managers in monitoring project status; 2) Evaluate project execution efficiency and predict project completion time by leveraging progress percentage and average progress speed.

搜集汇总

背景与挑战

背景概述

该项目进度跟踪数据集包含6000条记录，每日更新，源自公共数据授权，专注于企业项目管理场景。它通过采集项目编号、进度次数和耗时等多维信息，经处理计算进度百分比和平均速度，形成完整历史数据链，助力项目管理者实时监控进度动态并评估执行效率。