Data
StocksData

StocksData

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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The datasets talk about Stock Market, in two Industry and each Industry has ten different companies with six columns and 600 rows ,in the same date for all the 20 companies the period from 2020-02-06 to 2020-03-18 one month 30 day . Columns means : Date column : the perioid 2020-02-06 to 2020-03-18 Open column : the open price for stock each date Close column : the close price for stock each date Change column: the change between curent close price and the previous close price Volume Traded : total quantity of shares Trading name : the name for the company

7 features

Unnamed:_0numeric600 unique values
0 missing
Datestring31 unique values
0 missing
Opennumeric436 unique values
0 missing
Closenumeric449 unique values
0 missing
Change%numeric425 unique values
0 missing
Volume_Tradedstring600 unique values
0 missing
Trading_namestring20 unique values
0 missing

19 properties

600
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.
4
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
57.14
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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