Row 55155
Content Data
This page contains data entry 55155 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Same toolkit type of guy, here, and I generally agree.
Check data quality, first. What data type is generally present in each column? Is that data type persistent across values (sensoring)? Descriptive stats for each column? Shape of the data? Key values apparent? Relationships between columns (one-many, many-one, etc.)?
Basic data engineering stuff there. Then get into more of the EDA, as well as asking questions about the data source (error in measurements, etc.).
| Field | Value |
|---|---|
| text | Same toolkit type of guy, here, and I generally agree. Check data quality, first. What data type is generally present in each column? Is that data type persistent across values (sensoring)? Descriptive stats for each column? Shape of the data? Key values apparent? Relationships between columns (one-many, many-one, etc.)? Basic data engineering stuff there. Then get into more of the EDA, as well as asking questions about the data source (error in measurements, etc.). |
| label | r/datascience |
| dataType | comment |
| communityName | r/datascience |
| datetime | 2024-05-23 |
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Raw Record
{
"text": "Same toolkit type of guy, here, and I generally agree.\n\nCheck data quality, first.\nWhat data type is generally present in each column?\nIs that data type persistent across values (sensoring)?\nDescriptive stats for each column?\nShape of the data?\nKey values apparent?\nRelationships between columns (one-many, many-one, etc.)?\n\nBasic data engineering stuff there. Then get into more of the EDA, as well as asking questions about the data source (error in measurements, etc.).",
"label": "r/datascience",
"dataType": "comment",
"communityName": "r/datascience",
"datetime": "2024-05-23",
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}
Entry Information
- Entry ID: 55155
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000