{
  "id": 13641827,
  "title": "Currently learning Data Science, here is what I've learnt so far. Pt.3",
  "url": "https://urgent.news/2026/10/11/currently-learning-data-science-here-is-what-ive-learnt-so-far-pt-3",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-11T04:35:34.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/ndelacruz_dev/currently-learning-data-science-here-is-what-ive-learnt-so-far-pt3-3ok4"
  },
  "original_language": "en",
  "account": null,
  "summary": "This post from a Dev.to contributor delves into the topic of aggregates in SQL, explaining how calculations are performed on multiple rows of a table. The author covers various aggregate functions, such as COUNT(), SUM(), MAX(), MIN(), and AVG(), as well as the ROUND() function for rounding values. They also discuss the use of conditionals within aggregates and how to apply WHERE and HAVING clauses to filter results based on individual rows or aggregate properties, respectively. The post concludes with an introduction to the GROUP BY clause, which is used to group data based on an aggregate function and can be combined with ORDER BY and HAVING clauses for further data manipulation.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "Dev.to",
        "title": "Currently learning Data Science, here is what I've learnt so far. Pt.2",
        "url": "https://urgent.news/2026/10/10/currently-learning-data-science-here-is-what-ive-learnt-so-far-pt-2",
        "published": "2026-10-10T21:50:32.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}