Data
GOOG-Ticker-stock-data

GOOG-Ticker-stock-data

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Context The stock prices dataset of a ticker is a good start to slice and dice and good for forecasting of the stock prices. The GOOG ticker data is taken Content Dataset is comprising of the below columns and each row having the days data, an year data is pulled into csv file. Date Open High Low Close Volume Acknowledgements Credits: The data is pulled from the Google Inspiration Stock data for forecasting stock prices.

6 features

Datestring249 unique values
0 missing
Opennumeric241 unique values
0 missing
Highnumeric246 unique values
0 missing
Lownumeric245 unique values
0 missing
Closenumeric246 unique values
0 missing
Volumenumeric249 unique values
0 missing

19 properties

249
Number of instances (rows) of the dataset.
6
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.
5
Number of numeric attributes.
0
Number of nominal attributes.
0.02
Number of attributes divided by the number of instances.
83.33
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.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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