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The document describes a dataset containing 29,101 observations of Uber pickups in New York City over 6 months. The dataset includes information on weather, borough location, and public holidays. The objective is to explore how factors like weather, location, and holidays affect Uber demand by analyzing the data through summary statistics, univariate and bivariate analysis, and insights. The data dictionary defines the 13 variables in the dataset.

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Venkat P.v.
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77 views1 page

Language

The document describes a dataset containing 29,101 observations of Uber pickups in New York City over 6 months. The dataset includes information on weather, borough location, and public holidays. The objective is to explore how factors like weather, location, and holidays affect Uber demand by analyzing the data through summary statistics, univariate and bivariate analysis, and insights. The data dictionary defines the 13 variables in the dataset.

Uploaded by

Venkat P.v.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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The Uber practice dataset has 29,101 observations across 13 variables with information related to:

 Uber pickups in New York for a period of 6 months


 Weather data
 Location Id to Borough Mapping
 Public holidays of New York

The objective of this practice problem is to explore the attached dataset in R and generate insights
about it. On a high level, you should explore what affects the demand of Uber taxis in New York. Your
exploration report can look into the following aspects:

 Summary statistics and structure of the dataset


 Univariate analysis, bivariate analysis etc. and their graphical analysis.
 Final Insights from the dataset

Data Dictionary:

 pickup_dt: Time period of the observations.


 borough: NYC's borough.
 pickups: Number of pickups for the period.
 spd: Wind speed in miles/hour.
 vsb: Visibility in Miles to nearest tenth.
 temp: temperature in Fahrenheit.
 dewp: Dew point in Fahrenheit.
 slp: Sea level pressure.
 pcp01: 1-hour liquid precipitation.
 pcp06: 6-hour liquid precipitation.
 pcp24: 24-hour liquid precipitation.
 sd: Snow depth in inches.
 hday: Being a holiday (Y) or not (N).

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