Row 18083
Content Data
This page contains data entry 18083 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Everyone has seen the really amazing graphics from NY times. a la [https://www.nytimes.com/interactive/2023/us/2023-year-in-graphics.html](https://www.nytimes.com/interactive/2023/us/2023-year-in-graphics.html) How do they make these? Is it an army of graphic designers? Are there any packages (R/python) that are good for creating these interactive figures/plots along with infographics? Any tips would be highly recommended! Something besides 'plotly' ?
| Field | Value |
|---|---|
| text | Everyone has seen the really amazing graphics from NY times. a la [https://www.nytimes.com/interactive/2023/us/2023-year-in-graphics.html](https://www.nytimes.com/interactive/2023/us/2023-year-in-graphics.html) How do they make these? Is it an army of graphic designers? Are there any packages (R/python) that are good for creating these interactive figures/plots along with infographics? Any tips would be highly recommended! Something besides 'plotly' ? |
| label | r/datascience |
| dataType | post |
| communityName | r/datascience |
| datetime | 2024-05-21 |
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Raw Record
{
"text": "Everyone has seen the really amazing graphics from NY times. a la [https://www.nytimes.com/interactive/2023/us/2023-year-in-graphics.html](https://www.nytimes.com/interactive/2023/us/2023-year-in-graphics.html) How do they make these? Is it an army of graphic designers? Are there any packages (R/python) that are good for creating these interactive figures/plots along with infographics? Any tips would be highly recommended! Something besides 'plotly' ? ",
"label": "r/datascience",
"dataType": "post",
"communityName": "r/datascience",
"datetime": "2024-05-21",
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}
Entry Information
- Entry ID: 18083
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000