{
    "data_id": "43676",
    "name": "NSE-Stocks-Data",
    "exact_name": "NSE-Stocks-Data",
    "version": 2,
    "version_label": "v1.0",
    "description": "Context\nThe data is of National Stock Exchange of India.\nThe data is compiled to felicitate Machine Learning, without bothering much about Stock APIs.\nContent\nThe data is of National Stock Exchange of India's stock listings for each trading day of 2016 and 2017.\nA brief description of columns.\nSYMBOL: Symbol of the listed company. \nSERIES: Series of the equity. Values are [EQ, BE, BL, BT, GC and IL] \nOPEN: The opening market price of the equity symbol on the date. \nHIGH: The highest market price of the equity symbol on the date. \nLOW: The lowest recorded market price of the equity symbol on the date. \nCLOSE: The closing recorded price of the equity symbol on the date. \nLAST: The last traded price of the equity symbol on the date. \nPREVCLOSE: The previous day closing price of the equity symbol on the date. \nTOTTRDQTY: Total traded quantity of the equity symbol on the date. \nTOTTRDVAL: Total traded volume of the equity symbol on the date. \nTIMESTAMP: Date of record. \nTOTALTRADES: Total trades executed on the day. \nISIN: International Securities Identification Number. \nAcknowledgements\nAll data is fetched from NSE official site. \nhttps:\/\/www.nseindia.com\/\nInspiration\nThis dataset is compiled to felicitate Machine learning on Stocks.",
    "format": "arff",
    "uploader": "Dustin Carrion",
    "uploader_id": 30123,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-24 07:08:43",
    "update_comment": null,
    "last_update": "2022-03-24 07:08:43",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102501\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": "\"ISIN\"",
    "runs": 0,
    "suggest": {
        "input": [
            "NSE-Stocks-Data",
            "Context The data is of National Stock Exchange of India. The data is compiled to felicitate Machine Learning, without bothering much about Stock APIs. Content The data is of National Stock Exchange of India's stock listings for each trading day of 2016 and 2017. A brief description of columns. SYMBOL: Symbol of the listed company. SERIES: Series of the equity. Values are [EQ, BE, BL, BT, GC and IL] OPEN: The opening market price of the equity symbol on the date. HIGH: The highest market price of "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 846404,
        "NumberOfFeatures": 12,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 2457,
        "NumberOfInstancesWithMissingValues": 2457,
        "NumberOfNumericFeatures": 9,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 1.4177626759797921e-5,
        "PercentageOfNumericFeatures": 75,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0.2902869079068624,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0.024190575658905204
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computational Universe"
        },
        {
            "uploader": "38960",
            "tag": "Transportation"
        }
    ],
    "features": [
        {
            "name": "SYMBOL",
            "index": "0",
            "type": "string",
            "distinct": "2037",
            "missing": "0"
        },
        {
            "name": "SERIES",
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            "type": "string",
            "distinct": "71",
            "missing": "2457"
        },
        {
            "name": "OPEN",
            "index": "2",
            "type": "numeric",
            "distinct": "58241",
            "missing": "0",
            "min": "0",
            "max": "119990",
            "mean": "561",
            "stdev": "2006"
        },
        {
            "name": "HIGH",
            "index": "3",
            "type": "numeric",
            "distinct": "58291",
            "missing": "0",
            "min": "0",
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            "mean": "569",
            "stdev": "2027"
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        {
            "name": "LOW",
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            "type": "numeric",
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            "missing": "0",
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            "stdev": "1983"
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            "mean": "561",
            "stdev": "2005"
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            "missing": "0",
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            "mean": "560",
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            "name": "TIMESTAMP",
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            "name": "TOTALTRADES",
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            "stdev": "14901"
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            "name": "ISIN",
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            "type": "string",
            "distinct": "2405",
            "missing": "0",
            "ignore": "1"
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