Dictionary: Employee Posts Data

this data dictionary shows all available data points, explains their values, and provides snippets of employee posts data data index dictionary employee posts data /#author dictionary employee posts data /#post information dictionary employee posts data /#comments all personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes author data point description data type author name employee's full name s tring author profile url employee's profile url string author headline headline or title of the author (if available) string author posts count number of all author's posts n umber (integer) see a snippet of the dataset for reference author "author name" "john doe", "author profile url" "https //professional network com/in/john doe", "author headline" "data analyst @company example | data is my passion", "author posts count" 100, post information data point description data type id post's id s tring url post's url s tring date published post publication date s tring (date) article body content of the post s tring image url url of an image attached to the post (if available) s tring hashtags list of hashtags used in the post array mentions mentions of other profiles array of strings full name mention within the post s tring url profile url of the mentioned entity s tring reaction count number of reactions (likes, claps, etc ) on the post integer see a snippet of the dataset for reference post information "id" "1234567890123456", "url" "https //www professional network com/posts/johndoe example post 123456", "date published" "2025 07 01", "article body" "data is only as valuable as the insights you can draw from it, and the right structure makes all the difference with jane doe, we're building tools that turn raw data into clear, actionable stories ", "image url" "https //example com/image/link123456789", "hashtags" \[ "#data", "#inspiring" ], "mentions" \[ { "full name" "jane doe", "url" "https //professional network com/in/jane doe" } ], "reaction count" 10, comments data point description data type comment count number of comments on the post integer comments list of comments on the post array of objects full name name of the person who made the comment s tring headline headline or title of the commenter (if available) s tring profile url url of the commenter’s profile s tring body content of the comment s tring reaction count number of reactions on the comment integer date published time when comment was published s tring (date) refer to the table example from the data comments "comment count" 2, "comments" \[ { "full name" "john smith", "headline" "talent intelligence@ example corp | meta alumni", "profile url" "https //www professional network com/in/john smith", "body" "great opportunity", "reaction count" 1, "date published" "2025 07 01" }, { "full name" "jane smith", "headline" "looking for a job in qa | functional testing ", "profile url" "https //professional network com/in/jane smith", "body" "i'd be interested to join your team", "reaction count" 0, "date published" "2025 07 02" } ]