Get data from CSVs
In this exercise, you'll create a dataframe from a CSV file. The United States makes available CSV files containing tax data by ZIP or postal code, allowing us to analyze income information in different parts of the country. We'll focus on a subset of the data, vt_tax_data_2016.csv, which has select tax statistics by ZIP code in Vermont in 2016.
To load the data, you'll need to import the pandas library, then read vt_tax_data_2016.csv and assign the resulting dataframe to a variable. Then we'll have a look at the data.
Questo esercizio fa parte del corso
Streamlined Data Ingestion with pandas
Istruzioni dell'esercizio
- Import the
pandaslibrary aspd. - Use
read_csv()to loadvt_tax_data_2016.csvand assign it to the variabledata. - View the first few lines of the dataframe with the
head()method. This code has been written for you.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Import pandas as pd
import ____ as pd
# Read the CSV and assign it to the variable data
data = ____(____)
# View the first few lines of data
print(data.head())