DEVELOPMENT...      {
    "data_id": "43310",
    "name": "Indian-Startup-Funding",
    "exact_name": "Indian-Startup-Funding",
    "version": 1,
    "version_label": "v1.0",
    "description": "Context\nInterested in the Indian startup ecosystem just like me Wanted to know what type of startups are getting funded in the last few years Wanted to know who are the important investors Wanted to know the hot fields that get a lot of funding these days \n This dataset is a chance to explore the Indian start up scene. Deep dive into funding data and derive insights into the future\n\nContent\nThis dataset has funding information of the Indian startups from January 2015 to August 2017. It includes columns with the date funded, the city the startup is based out of, the names of the funders, and the amount invested (in USD).  \nFor more information on the values of individual fields, check out the Column Metadata.\n\nAcknowledgements\nThanks to trak.in who are generous enough to share the data publicly for free. \n\nInspiration\nPossible questions which could be answered are:\n\nHow does the funding ecosystem change with time\nDo cities play a major role in funding\nWhich industries are favored by investors for funding\nWho are the important investors in the Indian Ecosystem\nHow much funds does startups generally get in India",
    "format": "arff",
    "uploader": " Stewart",
    "uploader_id": 30123,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 09:48:26",
    "update_comment": null,
    "last_update": "2022-03-23 09:48:26",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102135\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "Indian-Startup-Funding",
            "Context Interested in the Indian startup ecosystem just like me Wanted to know what type of startups are getting funded in the last few years Wanted to know who are the important investors Wanted to know the hot fields that get a lot of funding these days This dataset is a chance to explore the Indian start up scene. Deep dive into funding data and derive insights into the future Content This dataset has funding information of the Indian startups from January 2015 to August 2017. It includes col "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 3044,
        "NumberOfFeatures": 10,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 4900,
        "NumberOfInstancesWithMissingValues": 3044,
        "NumberOfNumericFeatures": 1,
        "NumberOfSymbolicFeatures": 0,
        "PercentageOfSymbolicFeatures": 0,
        "AutoCorrelation": null,
        "PercentageOfNumericFeatures": 10,
        "PercentageOfMissingValues": 16.09724047306176,
        "PercentageOfInstancesWithMissingValues": 100,
        "PercentageOfBinaryFeatures": 0,
        "NumberOfBinaryFeatures": 0,
        "MinorityClassSize": null,
        "MinorityClassPercentage": null,
        "MajorityClassSize": null,
        "MajorityClassPercentage": null,
        "Dimensionality": 0.0032851511169513796
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    "tags": [],
    "features": [
        {
            "name": "Sr_No",
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            "type": "numeric",
            "distinct": "3044",
            "missing": "0",
            "min": "1",
            "max": "3044",
            "mean": "1523",
            "stdev": "879"
        },
        {
            "name": "Date_dd\/mm\/yyyy",
            "index": "1",
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        },
        {
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        },
        {
            "name": "SubVertical",
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            "type": "string",
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            "index": "7",
            "type": "string",
            "distinct": "55",
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            "name": "Amount_in_USD",
            "index": "8",
            "type": "string",
            "distinct": "471",
            "missing": "960"
        },
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            "name": "Remarks",
            "index": "9",
            "type": "string",
            "distinct": "72",
            "missing": "2625"
        }
    ],
    "nr_of_issues": 0,
    "nr_of_downvotes": 0,
    "nr_of_likes": 0,
    "nr_of_downloads": 0,
    "total_downloads": 0,
    "reach": 0,
    "reuse": 0,
    "impact_of_reuse": 0,
    "reach_of_reuse": 0,
    "impact": 0
}
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