2021-06-01 Dogs
Data on Dogs in Switzerland.
The data is from Zurich, Switzerland, courtesy of the internet. The idea to analyze this dataset comes from a post on Kaggle.
Translation
German is the official language of Zurich. Most of the columns are in German, but the translations to English aren’t too tricky. Use a translator if you find something you do not understand.
- ALTER -> Age
- GESCHLECHT -> Gender (w = weiblich, female; m = männlich, male)
- STADTKREIS -> City Quarter or District
- RASSE1 -> Dog’s Primary Breed
- RASSE2 -> Dog’s Secondary Breed
- GEBURTSJAHR_HUND -> Dog’s Year of Birth
- GESCHLECHT_HUND -> Dog’s Gender
- HUNDEFARBE -> Dog’s Color
Data
Dog data from Zurich. There should be a notebook available to load the data and do some initial cleaning.
Questions
We will use 2015 to begin. Later we can combine all of the information into a single data frame to see if more can be learned by combining data from multiple years.
- How many dogs are there?
- How many male vs female dogs?
- Analyze the ages of the owners?
- The birth year of the dog has some obvious errors. Find them and fix them. See the fixing code included in the notebook.
- Does
iduniquely identify the dog registration information? Explain your reasoning and give supporting evidence.