|
1 | | -Here's a well-structured `README.md` for **LeetCode 1341 - Movie Rating**, formatted for a GitHub repository: |
2 | | - |
3 | | -```md |
4 | 1 | # 🎬 Movie Rating - LeetCode 1341 |
5 | 2 |
|
6 | 3 | ## 📌 Problem Statement |
@@ -196,13 +193,5 @@ def movie_rating(users: pd.DataFrame, movies: pd.DataFrame, movie_rating: pd.Dat |
196 | 193 | - 📖 [LeetCode Problem](https://leetcode.com/problems/movie-rating/) |
197 | 194 | - 📚 [SQL `GROUP BY` Clause](https://www.w3schools.com/sql/sql_groupby.asp) |
198 | 195 | - 🐍 [Pandas GroupBy Documentation](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.groupby.html) |
199 | | -``` |
200 | | - |
201 | | -### Features of this `README.md`: |
202 | | -✅ **Clear problem description with tables** |
203 | | -✅ **Example with step-by-step explanation** |
204 | | -✅ **SQL and Pandas solutions with detailed breakdowns** |
205 | | -✅ **File structure for easy organization** |
206 | | -✅ **Helpful references for further learning** |
207 | 196 |
|
208 | | -Would you like any changes or additions? 🚀 |
| 197 | +## Would you like any changes or additions? 🚀 |
0 commit comments