Box Office Stats

This dataset contains information about movie producers, their movies, and the corresponding box office performance.

Tutorials are the best documentation — Box Office Movie Analysis Tutorial

Description

This dataset provides detailed box office performance data for movies, including daily revenue, theater counts, and distributor information.

It links movies to their producer companies via ticker symbols, enabling analysis of box office success across different production studios and distributors over time.

Data Access

Retrieving Data

import sovai as sov 
df_movies = sov.data("movies/boxoffice")

Data Dictionary

Column Name	Data Type	Description	Example
ticker	string	Ticker symbol of the movie producer company	"ZEEL"
date	date	Date of the movie's box office performance	2022-03-18
title	string	Title of the movie	"The Kashmir Files"
distributor	string	Distributor of the movie	"Zee Studios"
gross	integer	Gross box office revenue for the movie on the specified date	413000
percent_yd	float	Percentage change in gross revenue compared to the previous day	0.0
percent_lw	float	Percentage change in gross revenue compared to the previous week	0.2
theaters	integer	Number of theaters screening the movie on the specified date	230
per_theater	float	Average gross revenue per theater on the specified date	1796.0
total_gross	integer	Cumulative gross box office revenue for the movie up to the specified date	413000
days_in_release	integer	Number of days the movie has been in release as of the specified date	1
parent_company	string	Parent company of the movie producer	"Zee Entertainment Enterprises Limited"
distributor_address	string	Address of the movie distributor	"Laxmi Industrial Estate, Off New Link Road, An..."
distributor_website	string	Website of the movie distributor	"https://www.zee.com/"
release_date	date	Initial release date of the movie	2022-03-17

Dataset Structure

The dataset is organized as a table with 228,484 rows and 15 columns. Each row represents a specific movie's box office performance on a particular date.

Data Types

The dataset contains the following data types:

• String: ticker, title, distributor, parent_company, distributor_address, distributor_website

• Date: date, release_date

• Integer: gross, theaters, total_gross, days_in_release

• Float: percent_yd, percent_lw, per_theater

Missing Values

If a movie does not have any data for a particular column on a specific date, the corresponding cell may contain missing values.

Example Rows

Here are a few example rows from the dataset:

ticker	date	title	distributor	gross	percent_yd	percent_lw	theaters	per_theater	total_gross	days_in_release	parent_company	distributor_address	distributor_website	release_date
600579	2011-02-11	Raymond Did It	Plastic Age …	2999	0.0	0.0	1.0	2999.0	2999	1	KraussMaffei Group	7295 Tellier St, Montreal, Quebec H1N 3S9, CA	https://plastic-age.com/en/	2011-02-10
600579	2011-02-12	Raymond Did It	Plastic Age …	193	-0.94	0.0	1.0	193.0	3192	2	KraussMaffei Group	7295 Tellier St, Montreal, Quebec H1N 3S9, CA	https://plastic-age.com/en/	2011-02-10
ZEEL	2022-03-18	The Kashmir Files	Zee Studios	413000	0.0	0.0	230.0	1796.0	413000	1	Zee Entertainment Enterprises Limited	Laxmi Industrial Estate, Off New Link Road, An...	https://www.zee.com/	2022-03-17

This data dictionary provides an overview of the movie producer and movie dataset, including the column descriptions, data types, examples, and sample rows.