The code block displayed below contains an error. The code block should read the csv file located at path data/transactions.csv into DataFrame transactionsDf, using the first row as column header

and casting the columns in the most appropriate type. Find the error.

First 3 rows of transactions.csv:

1.transactionId;storeId;productId;name

2.1;23;12;green grass

3.2;35;31;yellow sun

4.3;23;12;green grass

Code block:

transactionsDf = spark.read.load("data/transactions.csv", sep=";", format="csv", header=True)