PHPMem v2.0.1

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1.6.45
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17 days 7 hours 7 minutes 46 seconds

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512MB
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499,28MB

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14 060
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760
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0
llm:a91fea266ed3b9378f3d921c559ffd46f322e200f4c2991fd90f378e01943a96
TTL 4 days 21 hours 2 minutes 26 seconds Size 2,22KB Export
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{
    "action": "final",
    "content": "The table `raw.semi_conductor_se` has 13 columns: 9 business columns and 4 ingestion-metadata columns. Types come from the card. The profile (nulls, min and max) comes from the column inspection I ran on the 9 business columns.\n\n**Business columns**\n\n| Column | Type | Meaning |\n|---|---|---|\n| `_unnamed_0` | BIGINT | Row identifier, an unnamed index column carried over from the source CSV. It runs 0 to 422,728, so it is unique per row and has no analytic meaning. |\n| `company_name` | VARCHAR | Full company name, for example the issuer of the stock. There are about 149 distinct companies, and it is never null. |\n| `stock_name` | VARCHAR | Ticker or stock symbol. Together with `date` it forms the grain of one row per stock per trading day. |\n| `date` | DATE | Trading day, ranging from 2012-01-02 to 2025-08-04. It is the dataset's only temporal axis. |\n| `open` | DOUBLE | Price at the start of the trading session. |\n| `high` | DOUBLE | Highest price reached during the session. |\n| `low` | DOUBLE | Lowest price reached during the session. |\n| `close` | DOUBLE | Price at the end of the session. |\n| `volume` | BIGINT | Number of shares traded that day. It ranges from 0 to about 3.69 billion. |\n\n**Ingestion-metadata columns**\n\nThese are added by the pipeline and are not market data.\n\n| Column | Type | Meaning |\n|---|---|---|\n| `_ingestion_timestamp` | TIMESTAMP | When the row was loaded. |\n| `_batch_id` | VARCHAR | Identifier of the load batch. |\n| `_source_file` | VARCHAR | File the row came from. |\n| `_source_system` | VARCHAR | System the row came from. |\n\n**Observations from the profile**\n- None of the 9 business columns has nulls.\n- The price columns (`open`, `high`, `low`, `close`) range from about 0.009 to 300,000. That spread suggests a mix of very-low-priced and very-high-priced securities, and possibly mixed currencies or exchanges. Compare prices within a stock, not across stocks.\n- The descriptions of the price and volume columns follow standard OHLCV conventions. The card doesn't document them, so treat them as inferred from the column names."
}