Data
Internet-Movie-Database

Internet-Movie-Database

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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  • Earth Science Machine Learning
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Context There's a story behind every dataset and here's your opportunity to share yours. Imdb-data is dataset for various movies gathered together Content What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Imdb-data is dataset for various movies gathered together which contains Movie Release year, description, Revenue etc. Acknowledgements We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research. Inspiration Your data will be in front of the world's largest data science community. What questions do you want to see answered?

12 features

Ranknumeric1003 unique values
0 missing
Titlestring1002 unique values
0 missing
Genrestring208 unique values
0 missing
Descriptionstring1003 unique values
0 missing
Directorstring644 unique values
3 missing
Actorsstring998 unique values
1 missing
Yearnumeric12 unique values
0 missing
Runtime_(Minutes)numeric94 unique values
0 missing
Ratingnumeric55 unique values
0 missing
Votesnumeric1000 unique values
0 missing
Revenue_(Millions)numeric816 unique values
128 missing
Metascorenumeric85 unique values
64 missing

19 properties

1003
Number of instances (rows) of the dataset.
12
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
196
Number of missing values in the dataset.
165
Number of instances with at least one value missing.
7
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
58.33
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
16.45
Percentage of instances having missing values.
Average class difference between consecutive instances.
1.63
Percentage of missing values.

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