Data
Google-Stock-10Year-data2004-2020

Google-Stock-10Year-data2004-2020

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computer Systems Machine Learning
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Context Google, one of the greatest gifts to mankind. Any information that you need today is available on Google. Google is a household name and literally everyone is aware of what google is. It helps you get resources for your school projects, helps you shop online and much more. Google has made getting education a lot easier for people across the globe. No matter where you are, you can access google provided you have internet. Every piece of info is available on google and its all one click away. But Google has a parent company known as Alphabet Inc. that trades and here we have stock data fro Alphabet Inc. Content This data set has 7 columns with all the necessary values such as opening price of the stock, the closing price of it, its highest in the day and much more. It has date wise data of the stock starting from 2004 to 2020(September).

7 features

Datestring4041 unique values
0 missing
Opennumeric3928 unique values
0 missing
Highnumeric3895 unique values
0 missing
Lownumeric3936 unique values
0 missing
Closenumeric3962 unique values
0 missing
Adj_Closenumeric3962 unique values
0 missing
Volumenumeric3950 unique values
0 missing

19 properties

4041
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
6
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
85.71
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.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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