# Anya's Gojo Revival : Pilot — Data

来源：https://www.kaggle.com/competitions/anyas-gojo-revival/data

采集时间：2026-10-20T07:46:51Z

**Data Description for Anya's Gojo Revival**

**Files**
- `Sheet1.csv`: The training dataset with 24 columns, including the 'id' and the 'target' target column.
- `Sheet2.csv`: The test dataset with 23 columns, missing the 'target' target column.
- `sample_submission.csv`: A sample submission file in the correct format, including 'id' and predicted 'target' values.

**Columns**
- `id`: Unique identifier for each entry.
- `a`: Date
- `b`: Average views per viewer
- `c`: Engagement Score
- `d`: Unique viewers
- `e`: Impressions click-through rate (%)
- `f`: Impressions
- `g`: Impression Score
- `h`: Comments added
- `i`: Shares
- `j`: Likes (vs. dislikes) (%)
- `k`: Content Viewability
- `l`: Dislikes
- `m`: Subscribers lost
- `n`: Subscribers gained
- `o`: Likes
- `p`: Average percentage viewed (%)
- `q`: Videos published
- `r`: Videos added
- `s`: Subscribers
- `t`: Views
- `u`: Watch time (hours)
- `v`: Average view duration
- `target`: Your estimated revenue (USD) [Target Column]

**Data Format**
- The datasets are provided in CSV format, with each row representing a data point and columns containing the feature values.

**Prediction Task**
- Your task is to predict the missing 'target' values in `Sheet2.csv` based on the patterns and relationships observed in `Sheet1.csv`.

**Acknowledgments**
- Anya's Number Challenge is a fictional dataset created for an engaging machine-learning problem.

Participants should be able to understand the provided data, its format, the task at hand, and the role of each file after reading this data description.