This dataset provides a detailed look into the sales of eggs in a shop in Sri Lanka over a span of 30 years, capturing seasonal variations, cultural events, and even global incidents. Dive in to uncover patterns and predict future sales.

Participants should be able to answer these types of questions after reading the data description:

What files do I need?
What should I expect the data format to be?
What am I predicting?
What acronyms will I encounter?

Files
train.csv - The training dataset containing egg sales data from 1993 to the end of 2021.
test.csv - The test dataset with dates for the year 2022. You will make sales predictions for these dates.
sample_submission.csv - A sample submission file in the correct format, illustrating how to structure your predictions.
metaData.csv - Supplemental information about the dataset columns and any specific notes.
Columns
Date - Represents the date for which the sales data is recorded. It spans from the year 1993 to 2022.
Egg Sales (only in train.csv) - The number of eggs sold on the corresponding date. This is the target variable you'll be predicting for the test dataset.

* Update - Please note that while some of you figured out the correct columns of the submission format, Some had confusion. I have made the necessary adjustment and also added an updated submission column with corrected column names.