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How to Solve Restaurant Growth Problem
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Start Free for WindowsMedium#1321
LeetCode ProblemRestaurant Growth
Table: Customer You are the restaurant owner and you want to analyze a possible expansion (there will be at least one customer every day). Compute the moving average of how much the customer paid in a seven days window (i.e., current day + 6 days before). average_amount should be rounded to two decimal places. Return the result table ordered by visited_on in ascending order. The result format is in the following example.
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Problem Breakdown
Understanding the Restaurant Growth Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
Table: Customer You are the restaurant owner and you want to analyze a possible expansion (there will be at least one customer every day). Compute the moving average of how much the customer paid in a seven days window (i.e., current day + 6 days before). average_amount should be rounded to two decimal places. Return the result table ordered by visited_on in ascending order. The result format is in the following example.
MediumProblem #1321
LeetCodeRestaurant Growth
Related Topics
Database
How Phantom Code Helps
Get real-time assistance for Restaurant Growth problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
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Output
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# Example 2
Input
Customer table: +-------------+--------------+--------------+-------------+ | customer_id | name | visited_on | amount | +-------------+--------------+--------------+-------------+ | 1 | Jhon | 2019-01-01 | 100 | | 2 | Daniel | 2019-01-02 | 110 | | 3 | Jade | 2019-01-03 | 120 | | 4 | Khaled | 2019-01-04 | 130 | | 5 | Winston | 2019-01-05 | 110 | | 6 | Elvis | 2019-01-06 | 140 | | 7 | Anna | 2019-01-07 | 150 | | 8 | Maria | 2019-01-08 | 80 | | 9 | Jaze | 2019-01-09 | 110 | | 1 | Jhon | 2019-01-10 | 130 | | 3 | Jade | 2019-01-10 | 150 | +-------------+--------------+--------------+-------------+
Output
+--------------+--------------+----------------+ | visited_on | amount | average_amount | +--------------+--------------+----------------+ | 2019-01-07 | 860 | 122.86 | | 2019-01-08 | 840 | 120 | | 2019-01-09 | 840 | 120 | | 2019-01-10 | 1000 | 142.86 | +--------------+--------------+----------------+
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Solve Restaurant Growth — Table: Customer You are the restaurant owner and you want to analyze a possible ...
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def solve(input):
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Frequently Asked Questions
Common questions about solving Restaurant Growth and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Restaurant Growth during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Restaurant Growth?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Restaurant Growth?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Restaurant Growth type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Restaurant Growth interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Restaurant Growth during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Restaurant Growth style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Restaurant Growth interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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