US Tennis Courts: Capacity, Amenities, And by Kaggle | Sports

About this Dataset

US Tennis Courts: Capacity, Amenities, And

US Tennis Courts: Capacity, Amenities, and Location

Discovering Court Types, Amenities, and Locations Across the US

By Michael G. Lobel [source]

About this dataset

This dataset contains vital information to gain insight into US tennis courts, such as capacity and amenities. Locations from all across the nation are included, making this an ideal source of data for sport enthusiasts, entrepreneurs, and industry professionals. With features like clay courts, grass courts, walled areas for practice, indoor accomodations for play in inclement weather ,lights for nighttime play and a proshop that offers apparel & equipment – you can trust that your source is comprehensive. Furthermore each location includes precise latitude and longitude coordinates to ensure accuracy . So no matter what your purpose may be you won't find a better data set than this one!

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How to use the dataset

This dataset can be used to look at the variety of tennis courts available in the United States and their associated amenities. It includes vital information such as address, city, region, type of court (public/private/etc.), capacity, amenities (clay/grass/indoor etc.), and latitude/longitude coordinates. This data can be used to generate maps with tennis court locations around a certain area or to analyse the distribution of tennis courts across different states. Additionally you can filter for specific types of courts or certain amenities and use this information for research purposes or to find a suitable court for sports activities.

To begin using this dataset we suggest taking a look at the columns included in it so that you understand what type of data is available. Afterward you will want to explore your data by filtering rows by a specific state, city or zip code in order to narrow down your search area if desired. Then you can further filter results by other criteria such as the type of court, capacity or whether there are clay or grass playing surfaces amongst other things. A powerful tool when using this database is map visualization since location coordinates are provided - which allows easy identification even when names might not reveal all details about a place. Once you have identified an area that meets your needs then its best practice verify availability and more detailed information with more research before hand like calling up any relevant contacts for more details

Research Ideas

Analyzing the geography of US tennis courts to determine which areas are underserved and need more investment in local courts.

Examining how other amenities such as pro shops, lighting, and walls affect the popularity of a court.

Mapping out nearby tennis courts to show users potential active areas for playing near them.

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

You are free to:

Share - copy and redistribute the material in any medium or format for any purpose, even commercially.

Adapt - remix, transform, and build upon the material for any purpose, even commercially.

You must:

Give appropriate credit - Provide a link to the license, and indicate if changes were made.

ShareAlike - You must distribute your contributions under the same license as the original.

Columns

File: tennis_courts.csv

Column name	Description
name	Name of the tennis court. (String)
address	Address of the tennis court. (String)
city	City of the tennis court. (String)
state	State of the tennis court. (String)
zip_code	Zip code of the tennis court. (Integer)
type	Type of the tennis court (public, private, etc). (String)
count	Number of courts at the location. (Integer)
clay	Whether the court has a clay surface. (Boolean)
wall	Whether the court has a wall. (Boolean)
grass	Whether the court has a grass surface. (Boolean)
indoor	Whether the court is indoors. (Boolean)
lights	Whether the court has lights. (Boolean)
proshop	Whether the court has a proshop. (Boolean)
latitude	Latitude of the court. (Float)
longitude	Longitude of the court. (Float)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Michael G. Lobel.

Tables

Tennis Courts

@kaggle.thedevastator_us_tennis_courts_capacity_amenities_and_location.tennis_courts

1.23 MB
29959 rows
16 columns


CREATE TABLE tennis_courts (
  "index" BIGINT,
  "name" VARCHAR,
  "address" VARCHAR,
  "city" VARCHAR,
  "state" DOUBLE,
  "zip_code" VARCHAR,
  "type" BIGINT,
  "count" BOOLEAN,
  "clay" BOOLEAN,
  "wall" BOOLEAN,
  "grass" BOOLEAN,
  "indoor" BOOLEAN,
  "lights" BOOLEAN,
  "proshop" DOUBLE,
  "latitude" DOUBLE,
  "longitude" VARCHAR
);