Row 49097
Content Data
This page contains data entry 49097 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
JMP is standalone, but it has its own proprietary language I won't learn because it's proprietary and has never shown up in a job description.
JMP is really good for visualizations and iterations on analysis. A lot of the time my work flow ends up being: assemble and transform the data in python, figure out the best way to pull meaning from it in JMP, then automate it in python. Extremely useful, but it won't be your only tool.
| Field | Value |
|---|---|
| text | JMP is standalone, but it has its own proprietary language I won't learn because it's proprietary and has never shown up in a job description. JMP is really good for visualizations and iterations on analysis. A lot of the time my work flow ends up being: assemble and transform the data in python, figure out the best way to pull meaning from it in JMP, then automate it in python. Extremely useful, but it won't be your only tool. |
| label | r/datascience |
| dataType | comment |
| communityName | r/datascience |
| datetime | 2024-05-22 |
| username_encoded | Z0FBQUFBQm5Lak1SX0puQUZnc3I3QllfeFZBSUNFSS1lUENjOHYtRzhZOEhvWktnWXlLXzh2VHJPTUNOWUFtUXhYXzdCcV9aRUROM0VZRGdoRnVYZTJBa3lheGJ0YVYzMEE9PQ== |
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Raw Record
{
"text": "JMP is standalone, but it has its own proprietary language I won't learn because it's proprietary and has never shown up in a job description.\n\nJMP is really good for visualizations and iterations on analysis. A lot of the time my work flow ends up being: assemble and transform the data in python, figure out the best way to pull meaning from it in JMP, then automate it in python. Extremely useful, but it won't be your only tool.",
"label": "r/datascience",
"dataType": "comment",
"communityName": "r/datascience",
"datetime": "2024-05-22",
"username_encoded": "Z0FBQUFBQm5Lak1SX0puQUZnc3I3QllfeFZBSUNFSS1lUENjOHYtRzhZOEhvWktnWXlLXzh2VHJPTUNOWUFtUXhYXzdCcV9aRUROM0VZRGdoRnVYZTJBa3lheGJ0YVYzMEE9PQ==",
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}
Entry Information
- Entry ID: 49097
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000