Row 5495

Row ID: 5495 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 5495 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I'm pretty new to my professional job, but from school I know missingness is something we'll never escape. I have survey data my project lead wants me to use, and we can't impute if someone didn't fill out the entire survey. They want me to decide between dropping the survey for the sample entirely vs keeping it in, and I want to learn a bit more about what the options are here. Especially since a concern is that the group with the survey will differ from the group without it. Im just not super familiar with this specific concern in missing data and what to do for an entire set of missing features like in a whole survey

FieldValue
text I'm pretty new to my professional job, but from school I know missingness is something we'll never escape. I have survey data my project lead wants me to use, and we can't impute if someone didn't fill out the entire survey. They want me to decide between dropping the survey for the sample entirely vs keeping it in, and I want to learn a bit more about what the options are here. Especially since a concern is that the group with the survey will differ from the group without it. Im just not super …
label r/datascience
dataType post
communityName r/datascience
datetime 2024-04-30
username_encoded Z0FBQUFBQm5LakwySHJ6WmxqMWFsdmE3ZnVNU21DbWs0ODFBUHZvVW9kMk9Pd1ZMcGdKMDBBOGRiSW5Pc1NxTU5vNFBGcExvZzVtb0Y4UmJDMGdYY25OQmlyNTVmVUxwaFE9PQ==
url_encoded Z0FBQUFBQm5Lak9GZEc1MUN3YUhnNHJubkVPMjdCWGRScUw4YXZtdjRzUU1qNGQ0WjBlekhvQzRXenhDMlcyTVMyTmstZjZVVFhfZmtXVUI2QmFiUWNpbi1WVl8zamZCaDdPeFFfc0pnYjEyRVkyNFo1NlpzcjhrVjZHNmh3VVh0WWF3a1BzakRXOGtReW1ONlYydFpUQ21PUHI5RURXRy1PYnpkYlZRWTl5TVFBR1J0WXVSV3BHMUh1dVQybTd4Yl9jTHlEUU1vVGFzUHE1R2ZKQnpZYk9TOUI5RlM4Mk1tdz09

Raw Record

{
  "text": "I'm pretty new to my professional job, but from school I know missingness is something we'll never escape. I have survey data my project lead wants me to use, and we can't impute if someone didn't fill out the entire survey. They want me to decide between dropping the survey for the sample entirely vs keeping it in, and I want to learn a bit more about what the options are here. Especially since a concern is that the group with the survey will differ from the group without it. Im just not super familiar with this specific concern in missing data and what to do for an entire set of missing features like in a whole survey ",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-04-30",
  "username_encoded": "Z0FBQUFBQm5LakwySHJ6WmxqMWFsdmE3ZnVNU21DbWs0ODFBUHZvVW9kMk9Pd1ZMcGdKMDBBOGRiSW5Pc1NxTU5vNFBGcExvZzVtb0Y4UmJDMGdYY25OQmlyNTVmVUxwaFE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9GZEc1MUN3YUhnNHJubkVPMjdCWGRScUw4YXZtdjRzUU1qNGQ0WjBlekhvQzRXenhDMlcyTVMyTmstZjZVVFhfZmtXVUI2QmFiUWNpbi1WVl8zamZCaDdPeFFfc0pnYjEyRVkyNFo1NlpzcjhrVjZHNmh3VVh0WWF3a1BzakRXOGtReW1ONlYydFpUQ21PUHI5RURXRy1PYnpkYlZRWTl5TVFBR1J0WXVSV3BHMUh1dVQybTd4Yl9jTHlEUU1vVGFzUHE1R2ZKQnpZYk9TOUI5RlM4Mk1tdz09"
}
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