# Data cleaning — Data

来源：https://www.kaggle.com/competitions/data-cleaning/data

采集时间：2026-10-24T13:06:53Z

**File**
train.csv – The training dataset containing historical enrollment data with the target variable included.

**Columns**

- Year – The academic year associated with the record.
- Semester – The academic semester (e.g., Spring, Summer, Fall).
- Ungrad – Number of undergraduate students enrolled.
- Prof – Number of professional program students enrolled (e.g., law, medicine, pharmacy, etc.).
- Grad – Number of graduate students enrolled.
- Post-Doc – Number of post-doctoral researchers enrolled.

**What Are You Predicting?**

The goal of this competition is to predict undergraduate enrollment for the test dataset based on enrollment breakdowns and temporal patterns.

**Data Notes**

This dataset represents enrollment trends at the University of Houston across multiple academic years and semesters. To simulate real-world data science challenges, the dataset may contain data quality issues such as missing values, inconsistent formatting, and anomalies that participants are expected to identify and resolve.