https://github.com/viniciusfer01/fast-queries

https://github.com/viniciusfer01/fast-queries

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/viniciusfer01/fast-queries
• Owner: viniciusfer01
• Created: 2022-10-09T17:54:19.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-10T10:43:55.000Z (about 2 years ago)
• Last Synced: 2023-03-07T15:58:44.733Z (almost 2 years ago)
• Language: Jupyter Notebook
• Size: 36.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Introduction

This is a project based on the Guided Project: Building Fast Queries on a CSV" (from Dataquest's "Algorithm Complexity" course):

## Objective

Adapt the solution made for the guided project to a [new database](https://www.kaggle.com/datasets/pavellexyr/the-reddit-climate-change-dataset).

To do this, three main functions were implemented. The first function receives an id from a reddit message and returns all the information about that message. 

The second function is given an upper bound and a lower bound, and it returns all the messages that have a 'sentiment' row within the interval. 

The third function receives a target value and searches for two comments whose 'score' can be added to result in the target value. If there is no such values, the function returns -1.