๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

์ „์ฒด ๊ธ€10

Study 1 ์ฃผ์ฐจ - ํƒœ๋ธ”๋กœ Tableau, ๋ชจ๋ฐ”์ผ ๋””๋ฐ”์ด์Šค ์œ ์ € ํ–‰๋™ ๋ถ„์„ ๋Œ€์‹œ๋ณด๋“œ ์Šคํ„ฐ๋”” ์ง„ํ–‰์ผ : 24.11.10๐Ÿ’ก ๋Œ€์‹œ๋ณด๋“œ ๋ฐ ํผ๋ธ”๋ฆญ ์ฃผ์†Œhttps://public.tableau.com/views/Mobileusagebehavior_202411/BYGROUP?:language=ko-KR&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link Mobile usage behavior_202411Mobile usage behavior_202411public.tableau.com๐Ÿ’ก ๋ฐ์ดํ„ฐ๋ชจ๋ฐ”์ผ ๊ธฐ๊ธฐ ์‚ฌ์šฉ ํŒจํ„ด๊ณผ ์‚ฌ์šฉ์ž ํ–‰๋™ ๋ถ„๋ฅ˜์— ๊ด€ํ•œ ๋ฐ์ดํ„ฐ, ์บ๊ธ€700๊ฐœ์˜ ๋ฐ์ดํ„ฐMobile Device Usage and User Behavior Datasethttps://www.kaggle.com/datasets/valakhorasani/mobi.. 2024. 11. 22.
11/10 ์ฒซ Tableau ๋ฐ์ดํ„ฐ๋ถ„์„ ์Šคํ„ฐ๋”” ๊ธฐ๋ก twbx 8๊ธฐ๊ฐ€ ๋๋‚˜๊ณ  ๋งˆ์Œ๋งž๋Š” ์ˆ˜๋ฃŒ์ž๋“ค๋ผ๋ฆฌ ์Šคํ„ฐ๋”” ์†Œ๋ชจ์ž„์„ ๋งŒ๋“ค๊ธฐ๋กœ ํ–ˆ๋‹ค.๋น„์Šทํ•œ ๊ณ ๋ฏผ๊ณผ ๋ชฉํ‘œ๋ฅผ ๊ฐ€์ง„ ๋ถ„๋“ค์ด๋ผ ์žฌ๋ฐŒ์„๊ฒƒ ๊ฐ™๊ณ  ์ง๋ฌด์Šคํ‚ฌ์„ ๊พธ์ค€ํžˆ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๊ฒƒ ๊ฐ™๋‹ค. ์•„์ง์€ ๋ฐฉํ–ฅ์„ฑ์ด ๋ชจํ˜ธํ•ด์„œ 1์งธ์ฃผ ์Šคํ„ฐ๋””๋Š” ์บ๊ธ€์˜ ๋ชจ๋ฐ”์ผ ๋””๋ฐ”์ด์Šค ๋ณ„ ์•ฑ ์œ ์ € ํ–‰๋™ ๋ฐ์ดํ„ฐ๋กœ, ์‹œ๊ฐํ™”ํ•ด๋ณด๊ธฐ๋กœ ํ–ˆ๋‹ค.https://www.kaggle.com/datasets/valakhorasani/mobile-device-usage-and-user-behavior-dataset/code  Mobile Device Usage and User Behavior DatasetAnalyzing Mobile Usage Patterns and User Behavior Classification Across Deviceswww.kaggle.com ๋‚˜์˜.. 2024. 11. 19.