OpenML
Apple-Historical-Dataset

Apple-Historical-Dataset

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
  • Computer Systems Machine Learning
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
If you reach this DATASET, please UPVOTE this dataset to show your appreciation DATASET DETAILS: 1.Previous Close: 264.29, 2.Open: 265.58, 3.Bid: 266.06 x 800, 4.Ask: 266.06 x 900, 5.Day's Range: 265.31 - 266.27, 6.52 Week Range: 142.00 - 268.00, 7.Volume: 3,772,399, 8.Avg. Volume: 25,464,369, 9.Market Cap: 1.201T, 10.Beta (3Y Monthly): 1.25, 11.PE Ratio (TTM): 22.35, 12.EPS (TTM): 11.89, 13.Earnings Date: Jan 27, 2020 - Jan 31, 2020, 14.Forward Dividend Yield: 3.08 (1.16), 15.Ex-Dividend Date: 2019-11-07, 1y Target Est: 257.21, ESG plot THIS DATASET CAN BE REALLY GOOD FOR BEGINNERS WHO WANT TO TEST THERE SKILLS IN FINANCE AND MACHINE LEARNING, GET STARTED WITH LSTMs MODELLING OR DEEP REINFORCEMENT LEARNING AGENTS BEST FOR THIS DATASETS TRY YOUR FIRST KERNEL NOW! ALL THE BSET

7 features

Datestring9823 unique values
0 missing
Opennumeric5194 unique values
1 missing
Highnumeric5134 unique values
1 missing
Lownumeric5110 unique values
1 missing
Closenumeric5300 unique values
1 missing
Adj_Closenumeric6825 unique values
1 missing
Volumenumeric9264 unique values
1 missing

19 properties

9823
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).
6
Number of missing values in the dataset.
1
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.
0.01
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.01
Percentage of missing values.

0 tasks

Define a new task