Row 42013
Content Data
This page contains data entry 42013 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Im a Python & Pandas man myself. What to do from there depends entirely on what columns you have. Sometimes you might not even have names for what the data is describing.
Start by figuring out what the data is. Do you have a timestamp column? Is it all just numbers or text? Then plot correlations, group it in certain ways, check for missing values, and try to visualize the distribution of the data in different ways. Once you figure out what the data describes, you'll be able to see what you can do with it.
| Field | Value |
|---|---|
| text | Im a Python & Pandas man myself. What to do from there depends entirely on what columns you have. Sometimes you might not even have names for what the data is describing. Start by figuring out what the data is. Do you have a timestamp column? Is it all just numbers or text? Then plot correlations, group it in certain ways, check for missing values, and try to visualize the distribution of the data in different ways. Once you figure out what the data describes, you'll be able to see what you c… |
| label | r/datascience |
| dataType | comment |
| communityName | r/datascience |
| datetime | 2024-05-22 |
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Raw Record
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"text": "Im a Python & Pandas man myself. What to do from there depends entirely on what columns you have. Sometimes you might not even have names for what the data is describing. \n\nStart by figuring out what the data is. Do you have a timestamp column? Is it all just numbers or text? \nThen plot correlations, group it in certain ways, check for missing values, and try to visualize the distribution of the data in different ways. Once you figure out what the data describes, you'll be able to see what you can do with it.",
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"datetime": "2024-05-22",
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}
Entry Information
- Entry ID: 42013
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000