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How to Solve Tweet Counts Per Frequency Problem
Master the Tweet Counts Per Frequency LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#1348
LeetCode ProblemTweet Counts Per Frequency
A social media company is trying to monitor activity on their site by analyzing the number of tweets that occur in select periods of time. These periods can be partitioned into smaller time chunks based on a certain frequency (every minute, hour, or day). For example, the period [10, 10000] (in seconds) would be partitioned into the following time chunks with these frequencies: Notice that the last chunk may be shorter than the specified frequency's chunk size and will always end with the end time of the period (10000 in the above example). Design and implement an API to help the company with their analysis. Implement the TweetCounts class: Example:
Hash TableBinary SearchDesignSortingOrdered Set
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Problem Breakdown
Understanding the Tweet Counts Per Frequency Problem
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Problem Statement
A social media company is trying to monitor activity on their site by analyzing the number of tweets that occur in select periods of time. These periods can be partitioned into smaller time chunks based on a certain frequency (every minute, hour, or day). For example, the period [10, 10000] (in seconds) would be partitioned into the following time chunks with these frequencies: Notice that the last chunk may be shorter than the specified frequency's chunk size and will always end with the end time of the period (10000 in the above example). Design and implement an API to help the company with their analysis. Implement the TweetCounts class: Example:
MediumProblem #1348
LeetCodeTweet Counts Per Frequency
Related Topics
Hash TableBinary SearchDesignSortingOrdered Set
How Phantom Code Helps
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Examples
# Example 1
Input
—
Output
—
Constraints
0 <= time, startTime, endTime <= 109
0 <= endTime - startTime <= 104
There will be at most 104 calls in total to recordTweet and getTweetCountsPerFrequency.
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Solve Tweet Counts Per Frequency — A social media company is trying to monitor activity on their site by analyzing ...
Here's the optimal approach using Hash Table:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Tweet Counts Per Frequency and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Tweet Counts Per Frequency 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 Tweet Counts Per Frequency?
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 Tweet Counts Per Frequency?
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 Tweet Counts Per Frequency 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 Tweet Counts Per Frequency 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 Tweet Counts Per Frequency 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 Tweet Counts Per Frequency 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 Tweet Counts Per Frequency 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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