Import, Tidy, Transform, Vi... — R For Data Science:

"R for Data Science" is a foundational text by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund that outlines a comprehensive data analysis cycle. The framework emphasizes a six-step process—import, tidy, transform, visualize, model, and communicate—to make data analysis faster and more reproducible. The second edition is available to read for free at r4ds.hadley.nz . Introduction - R for Data Science (2e) - Hadley Wickham

R for Data Science: Import, Tidy, Transform, Vi...

Çàïîëíèòå ýòó ïðîñòóþ ôîðìó, îòïðàâüòå è Âàøà ìîíåòà ïîïàäåò â êàòàëîã-àðõèâ «Ìîíåòû Áîñïîðà». Ãàðàíòèðóåì êîíôèäåíöèàëüíîñòü ïîäà÷è ìàòåðèàëà. Íî, èñêëþ÷èòåëüíî ïî Âàøåìó æåëàíèþ, ìû ìîæåì óêàçàòü, ÷òî ìîíåòà íàõîäèòñÿ â Âàøåé êîëëåêöèè.

Ìû îñòàâëÿåì çà ñîáîé ïðàâî íå ðàçìåùàòü ôîòîãðàôèè ìîíåò, åñëè èõ ïîäëèííîñòü áóäåò âûçûâàòü îáîñíîâàííûå ïîäîçðåíèÿ èëè åñëè ñîñòîÿíèå ìîíåò áóäåò íåóäîâëåòâîðèòåëüíîãî êà÷åñòâà. Ñïàñèáî çà ïîíèìàíèå.
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