Data
Amazon-Stock-Price-1997-to-2020

Amazon-Stock-Price-1997-to-2020

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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Description Amazon.com, Inc., is an American multinational technology company based in Seattle that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is considered one of the Big Four technology companies, along with Google, Apple, and Facebook. Context Time series forecasting for the Amazon Stock Prices. Explore the Data. About the dataset Date - in format: yy-mm-dd Open - the price of the stock at market open High - Highest price reached in the day Low - Lowest price reached in the day Close - The stock closing at the end of the Market hours Adj Close - Is the closing price after adjustments for all applicable splits and dividend distributions. Volume - Number of shares traded 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.

7 features

Datestring5842 unique values
0 missing
Opennumeric5154 unique values
0 missing
Highnumeric5098 unique values
0 missing
Lownumeric5103 unique values
0 missing
Closenumeric5232 unique values
0 missing
Adj_Closenumeric5232 unique values
0 missing
Volumenumeric5692 unique values
0 missing

19 properties

5842
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
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
85.71
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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.

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