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gwi_labels by GWI

Name: gwi_labels
Brand: GWI
SKU: GWI-00102
Price: 9999.99 USD
Availability: InStock

Category: altdata , consumer , main_tax_category , sentiment ,

Product Type: altdata

Region: US ,

Industry: Consumer Discretionary , Consumer Staples , Energy , Financials , Health Care , Industrials , Information Technology , Materials , Real Estate , Telecommunication Services , Utilities ,

Asset Classes: Equity ,

Data Frequency: quarter

Quantity must be 1 or more

Dataset Name: gwi_labels

Group: altdata
Vendor: GWI
Data Starts at: 2012-07-31 00:00:00
Asset Class: Equity
Data Update Time(s): 12:05 AM EST
Data Update Frequency: quarter

GlobalWebIndex (GWI) Internet Behaviours Labels For gwi_data

Data Contained in this Dataset

Column	Type	Description
_seq	uint	Internal sequence number used to keep data rows in order
timestamp	string	Timestamp of the Data - America/New York Time.
muts	uint64	Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps.
symbol	string	Trading Symbol or Ticker
Question_ID	string	Question_ID
Question_Code	string	Question_Code
Question	string	Question
Precode	int64	Precode
Option	string	Option
Base_option	string	Base_option
Subcode	string	Subcode
Option_suffix	double	Option_suffix
MIC_Op_Exchange_Code	double	ISO Market Identifier Code for the Exchange. ISO 10383, ISO 20022. ie XXXX, XNYS, PINX, XNAS, Null, XLON, XBOM, NEOE, XFRA, XPAR, XTKS, BVMF, XTSX, XTSE, XKRX, XKLS, XASX, XMIC, XCNQ, XJSE,
source_sidt	string	source_sidt

Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at sales@CloudQuant.com. The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.