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1 | | -Below is a well-structured `README.md` file for **LeetCode 1934 - Confirmation Rate**, including detailed explanations for the SQL solution using both the shorthand and CASE statement approaches, along with a Pandas (Python) solution. |
2 | | - |
3 | | -```md |
4 | 1 | # 📩 Confirmation Rate - LeetCode 1934 |
5 | 2 |
|
6 | 3 | ## 📌 Problem Statement |
@@ -174,14 +171,3 @@ def confirmation_rate(signups: pd.DataFrame, confirmations: pd.DataFrame) -> pd. |
174 | 171 | - 📝 [MySQL IFNULL Function](https://www.w3schools.com/sql/func_mysql_ifnull.asp) |
175 | 172 | - 🔍 [MySQL ROUND Function](https://www.w3schools.com/sql/func_mysql_round.asp) |
176 | 173 | - 🐍 [Pandas GroupBy Documentation](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.groupby.html) |
177 | | -``` |
178 | | - |
179 | | ---- |
180 | | - |
181 | | -### Features of this `README.md`: |
182 | | -- **Clear Problem Statement** with detailed table structures and examples. |
183 | | -- **SQL Solutions** with both a shorthand boolean expression and a CASE statement approach, complete with explanations. |
184 | | -- **Python (Pandas) Solution** with step-by-step instructions on merging, grouping, and calculating the confirmation rate. |
185 | | -- **Organized File Structure** and helpful external links for further learning. |
186 | | - |
187 | | -Let me know if you need any further modifications or additions! |
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