refactor: float -> double

src/main/java/com/threestar/trainus/domain/ranking/dto/RankingData.java

@@ -7,7 +7,7 @@ public interface RankingData {
 
 	Integer getReviewCount();
 
-	Float getRating();
+	Double getRating();
 
 	String getProfileImage();
 }

src/main/java/com/threestar/trainus/domain/ranking/dto/RankingResponseDto.java

@@ -11,7 +11,7 @@ public class RankingResponseDto {
 
 	private Long userId;
 	private String userNickname;
-	private Float rating;
+	private Double rating;
 	private Integer reviewCount;
 	private Category category;
 	private Integer rank;

src/main/java/com/threestar/trainus/domain/ranking/repository/RankingRepository.java

@@ -34,7 +34,7 @@ ORDER BY (
 		SELECT r.reviewee.id as userId,
 			r.reviewee.nickname as userNickname,
 			CAST(COUNT(r.reviewId) AS INTEGER) as reviewCount,
-			AST(AVG(r.rating) AS FLOAT) as rating,
+			CAST(AVG(r.rating) AS DOUBLE) as rating,
 			p.profileImage as profileImage
 		FROM Review r
 		JOIN r.lesson l

src/main/java/com/threestar/trainus/global/config/MockDataInitializer.java

@@ -200,7 +200,7 @@ private void createReviews(List<User> instructors, List<User> students, List<Les
 				// 평점은 metadata의 rating 주변으로 생성
 				double baseRating = metadata.getRating();
 				double reviewRating = Math.max(1.0d, Math.min(5.0d,
-					baseRating + (random.nextFloat() - 0.5d) * 2)); // ±1점 범위
+					baseRating + (random.nextDouble() - 0.5d) * 2)); // ±1점 범위
 
 				Review review = Review.builder()
 					.reviewer(randomStudent)
@@ -228,7 +228,7 @@ private int generateReviewCount() {
 
 	private double generateRating() {
 		// 3.0 ~ 5.0 사이의 평점 생성 (소수점 1자리)
-		double rating = 3.0d + random.nextFloat() * 2.0d;
+		double rating = 3.0d + random.nextDouble() * 2.0d;
 		return Math.round(rating * 10) / 10.0d;
 	}
 }