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3 Eating Out

This workflow describes a challenge to solve during the hackathon: Sort and compare the statistics based on log data.

DescriptionYou are interning for a travel agency that wants to know about their top spenders' eating habits. As a trial run,you are given a tiny dataset with 6647 rows containing information on 1011 unique citizens traveling withdifferent purposes. In this challenge you will:(1) Find the top 10 participants spending the highest amount of money on eating.(2) Find out whether the people who spend the most money on eating are the same people who spend themost time eating.Note: Sometimes the ending balance is more than the starting balance. Assume this was a mistake whencalculating money spent. eating_out.csv CSV Reader DescriptionYou are interning for a travel agency that wants to know about their top spenders' eating habits. As a trial run,you are given a tiny dataset with 6647 rows containing information on 1011 unique citizens traveling withdifferent purposes. In this challenge you will:(1) Find the top 10 participants spending the highest amount of money on eating.(2) Find out whether the people who spend the most money on eating are the same people who spend themost time eating.Note: Sometimes the ending balance is more than the starting balance. Assume this was a mistake whencalculating money spent. eating_out.csv CSV Reader

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: maarit.widmann
Created at: 2023-02-01
On NodePit since: 2023-02-09
Last update: 2024-05-05
Created with KNIME version: v4.7.0

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