Dogs Intelligence and Size

An Exploration of Breed-Based Characteristics

By len fishman [source]

About this dataset

This dataset provides valuable insights into the potential relationship between size and intelligence in different breeds of dogs. It includes data from a research conducted by Stanley Coren, a professor of canine psychology at the University of British Columbia, as well as breed size data from the American Kennel Club (AKC). With this dataset, users will be able to explore how larger and smaller breeds compare when it comes to obedience and intelligence. The columns present in this dataset include Breed, Classification, Obey (probability that the breed obeys the first command), Repetitions Lower/Upper Limits (for understanding new commands). From examining this data, users may gain further insight on our furry friends and their behaviors. Dive deeper into these intricate relationships with this powerful dataset!

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How to use the dataset

This dataset provides insight into how intelligence and size may be connected in dogs. It includes information on dog breeds, including their size, how well they obey commands, and the number of repetitions required for them to understand new commands. This can help pet owners who are looking for a dog that fits their lifestyle and residential requirements.

To get started using this dataset, begin by exploring the different attributes included: Breed (the type of breed), Classification (the size classification of the dog - small, medium or large), height_low_inches & height_high_inches (these are the lower limit and upper limit in inches when it comes to the height of the breed), weight_low_lbs & weight_high lbs (these are the lower limit and upper limit in pounds when it comes to the weight of a breed). Also included is obey (the probability that a particular breed obeys a given command) as well as reps_lower & reps_upper which represent respectively lower and upper repetitions required for a given breed to understand new commands

Once you have an understanding of what each attribute represents you can start exploring specific questions such as 'how many breeds fit in within certain size categories?', 'what type of 'obey' score do large breeds tend to achieve?', or you could try comparing size with intelligence by plotting out obey against both reps_lower & reps_upper . If higher obedience scores correlate with smaller numbers on either attributes this might suggest that smaller breeds tend require fewer repetitions when attempting learn something new.

By combining these attributes with other datasets such as those focusing on energy levels it’s possible create even more specific metrics based questions regarding which types of dogs might suit certain lifestyles better than others!

Research Ideas

• Examining the correlation between obedience and intelligence in different dog breeds.
• Investigating how size is related to other traits such as energy level, sociability and trainability in a particular breed of dog.
• Analyzing which sizes are associated with specific behavior patterns or medical issues for dogs of various breeds

Acknowledgements

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

License

License: Dataset copyright by authors - 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. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: AKC Breed Info.csv | Column name | Description | |:-----------------------|:--------------------------------------------------------------| | Breed | The breed of the dog. (String) | | height_low_inches | The lower range of the height of the dog in inches. (Integer) | | height_high_inches | The upper range of the height of the dog in inches. (Integer) | | weight_low_lbs | The lower range of the weight of the dog in pounds. (Integer) | |...

The estimated number of pet dogs in Denmark in increased selected years from 2010 to 2023. The dog population in Denmark was measured at approximately ******* in 2023.

This dataset is a modelled dataset, describing the predicted population of dogs per postcode district (e.g. YO41). This dataset gives the lower estimate for population for each district, and was generated as part of the delivery of commissioned research. The data contained within this dataset are modelled figures, based on lower 95th percentile national estimates for pet population, and available information on Veterinary activity across GB. The data are accurate as of 01/01/2015. The data provided are summarised to the postcode district level. Further information on this research is available in a research publication by James Aegerter, David Fouracre & Graham C. Smith, discussing the structure and density of pet cat and dog populations across Great Britain.

The data provided includes: serial number, year, county and city code, county and city, total estimated number of pet dogs, total estimated number of pet cats, total estimated number of stray dogs, and remarks.

Active Dog Licenses. All dog owners residing in NYC are required by law to license their dogs. The data is sourced from the DOHMH Dog Licensing System (https://a816-healthpsi.nyc.gov/DogLicense), where owners can apply for and renew dog licenses. Each record represents a unique dog license that was active during the year, but not necessarily a unique record per dog, since a license that is renewed during the year results in a separate record of an active license period. Each record stands as a unique license period for the dog over the course of the yearlong time frame.

With over 470 million dogs kept as pets worldwide, dogs came out on top as the leading type of pet in 2018. Within the same year, there were roughly 370 million pet cats in the world.

Pets in the European Union

While dogs were globally speaking the most common type of pet, cats were more common in the European Union in 2018. Roughly 75 million people within this region had a pet cat in 2018, compared to the 65 million pet dogs. That year, Germany had about nine and a half million pet dogs, making it the country with the highest number within the European Union. Other top dog-loving countries included the United Kingdom, Poland, and France.

Other pets in Germany

Besides cats and dogs, Germans had many other household pets in 2018. About five and a half million small pets, such as hamsters and rabbits, were kept by Germans that year. Additionally, about two million households in Germany owned an aquarium and roughly one and a half million households owned a garden pond.

NYC Reported Dog Bites. Section 11.03 of NYC Health Code requires all animals bites to be reported within 24 hours of the event. Information reported assists the Health Department to determine if the biting dog is healthy ten days after the person was bitten in order to avoid having the person bitten receive unnecessary rabies shots. Data is collected from reports received online, mail, fax or by phone to 311 or NYC DOHMH Animal Bite Unit. Each record represents a single dog bite incident. Information on breed, age, gender and Spayed or Neutered status have not been verified by DOHMH and is listed only as reported to DOHMH. A blank space in the dataset means no data was available.

The estimated number of pet dogs in Sweden increased in selected years from 2010 to 2023. The dog population in Sweden was measured at approximately **** million in 2023, an increase from the previous year.

The population of dogs kept as pets in the United Kingdom (UK) was estimated at **** million in 2024, which is an increase of around *** million from the previous year. Dog ownership in the UK As the population of dogs grew in the United Kingdom over the last decade, so did the share of dog-owning households in the UK. Between 2019/20 and 2021/22, the share of UK households owning a pet dog jumped from ** percent to around ** percent. This sudden increase could be attributed to the coronavirus pandemic and the resulting government-imposed quarantines that forced people to stay at home. UK households own pet dogs from various breeds. However, Labrador Retrievers were by far the most popular dog breed in the UK, with around ****** registrations in 2020. French Bulldogs were also equally popular with ****** registrations in that year. How much does it cost to own a dog in the UK? Consumer spending on pets and related products went up significantly in the United Kingdom between 2005 and 2020, with expenditure levels peaking at **** billion British pounds in 2020. The annual cost of keeping a pet dog in the UK amounted to an estimated ***** GBP as of 2022. Broken down by expense type, boarding for two weeks cost approximately *** GBP per year and is the costliest part of owning a pet dog, followed by pet insurance estimated at around *** GBP annually.

In 2023, the dog population in Europe was measured at approximately ****** million, an increase from around ****** million in the previous year. Overall, the number of pet-owning households in Europe was estimated to be around *** million in 2023. Pets in the European Union With a pet population reaching almost ** million in 2022, cats were the most populous animal type in the European Union, followed by dogs and ornamental birds. Other popular pets that year included small mammals, ornamental fish, and pet reptiles. There were approximately *** million pet reptiles in the European Union in 2022. Germany was home to the highest population of pet dogs in the European Union in 2022, at around **** million. Pet retailers in Europe The German pet food company Fressnapf was Europe’s top pet care retailer, with more than 2.1 billion euros in annual turnover in 2019. Fressnapf’s competitors in Europe are prominent pet care retailers such as the United Kingdom’s Pets at Home, the Belgian company Aveve, and the German Futterhaus, amongst others. Pets at Home is the largest pet retailer in the United Kingdom, recording annual revenues exceeding 1.32 billion British pounds in 2022.

Introduction

Pet Ownership Statistics: Pet ownership has become very common around the world in 2024. Many people enjoy having pets like dogs, cats, birds, or fish as part of their family. Pets offer companionship, reduce stress, and can make people feel happier. For some, pets provide emotional support or help with daily tasks, especially for people with special needs.

People owning a pet also come with responsibilities, like providing food, regular checkups at the vet, and proper care. Pet owners need to be prepared for the time, money, and attention they need to live healthy and happy lives.

Introduction

Pet Insurance Statistics: Pet insurance is a type of insurance coverage designed to help pet owners manage the costs associated with veterinary care for their pets.

It provides financial protection in case of unexpected accidents, illnesses, or injuries to pets. Just like health insurance for humans, pet insurance policies come with various coverage options, deductibles, and premium rates.

The goal of the project is to enhance usability of Open Data and to enhance its accessibility for non-expert users.

This is a sample script showing how open data datasets from the Vienna’s Open Data portal can be analysed and visualized using Jupiter Notebooks. We take the dog statistics data in Vienna as a sample use case to demonstrate common approaches to analyzing open data. This is a first part of our data story, in which we focus on data loading and pre-processing.

Data gathered under the Control of Dogs Act 1986 in order to enforce legislation. Current data being held in order to initiate legal proceedings. Historical data is held in order to generate requested reports and statistics.

A list of dog license dates, dog breeds, and dog name by zip code. Currently this dataset does not include City of Pittsburgh dogs.

Calculation of standard bodyweights for dogs, cats, rabbits, and guinea pigsStuart D. Becker, Dan G. O’Neill, Siân-Marie Frosini, Laura E. Stapleton, David M. Hughes, Dave C. BrodbeltPlos One (2025) doi: 10.1371/journal.pone.0318734This item is the data dictionary for data sets used to calculate standard bodyweights adjusted for juvenile growth in dogs, cats, rabbits, and guinea pigs. Please see linked paper for methodology.

Dogs and Cats Online Data 2023-2024

Statistics summary for dog density and reproductive performance among dogs from rural and urban areas with two levels of RMSF risk in and near Mexicali, Mexico.

The Dog Food Data Extracted from Chewy (USA) dataset contains 4,500 detailed records of dog food products sourced from one of the leading pet supply platforms in the United States, Chewy. This dataset is ideal for businesses, researchers, and data analysts who want to explore and analyze the dog food market, including product offerings, pricing strategies, brand diversity, and customer preferences within the USA.

The dataset includes essential information such as product names, brands, prices, ingredient details, product descriptions, weight options, and availability. Organized in a CSV format for easy integration into analytics tools, this dataset provides valuable insights for those looking to study the pet food market, develop marketing strategies, or train machine learning models.

Key Features:

• Record Count: 4,500 dog food product records.
• Data Fields: Product names, brands, prices, descriptions, ingredients .. etc. Find more fields under data points section.
• Format: CSV, easy to import into databases and data analysis tools.
• Source: Extracted from Chewy’s official USA platform.
• Geography: Focused on the USA dog food market.

Use Cases:

• Market Research: Analyze trends and preferences in the USA dog food market, including popular brands, price ranges, and product availability.
• E-commerce Analysis: Understand how Chewy presents and prices dog food products, helping businesses compare their own product offerings.
• Competitor Analysis: Compare different brands and products to develop competitive strategies for dog food businesses.
• Machine Learning Models: Use the dataset for machine learning tasks such as product recommendation systems, demand forecasting, and price optimization.

Data on body condition and reproduction of Utah prairie dogs at 5 colonies on the Awapa Plateau, Utah, USA, June-August 2013-2016. Utah prairie dogs were live-trapped and sampled on 5 colonies. We recorded the age (juvenile/adult) and mass (nearest 5 grams) of each prairie dog and marked its ears and body with metal tags and passive integrated transponders, respectively, for permanent identification. We measured each prairie dog's right hind foot length (nearest millimeter). We indexed each adult prairie dog's body condition as the ratio between its mass and hind-foot length. Prairie dogs were allowed to recover from anesthesia and released at their trapping locations. We indexed prairie dog reproduction, by colony and year, as the ratio of the number of juveniles per adult (juvenile:adult ratios). Funding and logistical support were provided by the U. S. Geological Survey (USGS), Western Association of Fish and Wildlife Agencies, and Colorado State University. Fieldwork was completed by the USGS Fort Collins Science Center, and lab work and flea identifications were completed by the USGS National Wildlife Health Center.