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ಪರಿಶೋಧನಾ ಡೇಟಾ ವಿಶ್ಲೇಷಣೆಯು ಒಳನೋಟಗಳನ್ನು ಪಡೆಯಲು ಮತ್ತು ಮಾದರಿಗಳನ್ನು ಬಹಿರಂಗಪಡಿಸಲು ಡೇಟಾವನ್ನು ಅನ್ವೇಷಿಸುವುದು, ದೃಶ್ಯೀಕರಿಸುವುದು ಮತ್ತು ಸಾರಾಂಶವನ್ನು ಒಳಗೊಂಡಿರುತ್ತದೆ. ಇದು ಡೇಟಾಸೆಟ್‌ನ ರಚನೆ, ವಿತರಣೆ ಮತ್ತು ಸಂಬಂಧಗಳನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ಸಂಶೋಧಕರಿಗೆ ಸಹಾಯ ಮಾಡುತ್ತದೆ, ಇದು ಹೊರಗಿನವರು, ಪ್ರವೃತ್ತಿಗಳು ಮತ್ತು ಪರಸ್ಪರ ಸಂಬಂಧಗಳನ್ನು ಗುರುತಿಸಲು ಅನುವು ಮಾಡಿಕೊಡುತ್ತದೆ. ಇದು ವಿಶ್ಲೇಷಕರಿಗೆ ಊಹೆಗಳನ್ನು ರೂಪಿಸಲು ಮತ್ತು ಹೆಚ್ಚಿನ ತನಿಖೆಗಾಗಿ ಪ್ರಶ್ನೆಗಳನ್ನು ಸೃಷ್ಟಿಸಲು ಅನುವು ಮಾಡಿಕೊಡುತ್ತದೆ, ನಂತರದ ಡೇಟಾ ವಿಶ್ಲೇಷಣೆ ಮತ್ತು ಮಾಡೆಲಿಂಗ್‌ನ ದಿಕ್ಕನ್ನು ಮಾರ್ಗದರ್ಶನ ಮಾಡುತ್ತದೆ.

ಪರಿಶೋಧನಾ ಡೇಟಾ ವಿಶ್ಲೇಷಣೆಯು ಒಳನೋಟಗಳನ್ನು ಪಡೆಯಲು ಮತ್ತು ಮಾದರಿಗಳನ್ನು ಬಹಿರಂಗಪಡಿಸಲು ಡೇಟಾವನ್ನು ಅನ್ವೇಷಿಸುವುದು, ದೃಶ್ಯೀಕರಿಸುವುದು ಮತ್ತು ಸಾರಾಂಶವನ್ನು ಒಳಗೊಂಡಿರುತ್ತದೆ. ಇದು ಡೇಟಾಸೆಟ್‌ನ ರಚನೆ, ವಿತರಣೆ ಮತ್ತು ಸಂಬಂಧಗಳನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು ಸಂಶೋಧಕರಿಗೆ ಸಹಾಯ ಮಾಡುತ್ತದೆ, ಇದು ಹೊರಗಿನವರು, ಪ್ರವೃತ್ತಿಗಳು ಮತ್ತು ಪರಸ್ಪರ ಸಂಬಂಧಗಳನ್ನು ಗುರುತಿಸಲು ಅನುವು ಮಾಡಿಕೊಡುತ್ತದೆ. ಇದು ವಿಶ್ಲೇಷಕರಿಗೆ ಊಹೆಗಳನ್ನು ರೂಪಿಸಲು ಮತ್ತು ಹೆಚ್ಚಿನ ತನಿಖೆಗಾಗಿ ಪ್ರಶ್ನೆಗಳನ್ನು ಸೃಷ್ಟಿಸಲು ಅನುವು ಮಾಡಿಕೊಡುತ್ತದೆ, ನಂತರದ ಡೇಟಾ ವಿಶ್ಲೇಷಣೆ ಮತ್ತು ಮಾಡೆಲಿಂಗ್‌ನ ದಿಕ್ಕನ್ನು ಮಾರ್ಗದರ್ಶನ ಮಾಡುತ್ತದೆ.

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Exploratory data analysis involves exploring, visualizing, and summarizing data to gain insights and uncover patterns. It helps researchers understand a dataset's structure, distribution, and relationships, allowing them to identify outliers, trends, and correlations. It enables analysts to form hypotheses and generate questions for further investigation, guiding the direction of subsequent data analysis and modelling.

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L’analisi esplorativa dei dati implica l’esplorazione, la visualizzazione e il riepilogo dei dati per ottenere informazioni approfondite e scoprire modelli. Aiuta i ricercatori a comprendere la struttura, la distribuzione e le relazioni di un set di dati, consentendo loro di identificare valori anomali, tendenze e correlazioni. Consente agli analisti di formulare ipotesi e generare domande per ulteriori indagini, guidando la direzione della successiva analisi e modellazione dei dati.

L’analisi esplorativa dei dati implica l’esplorazione, la visualizzazione e il riepilogo dei dati per ottenere informazioni approfondite e scoprire modelli. Aiuta i ricercatori a comprendere la struttura, la distribuzione e le relazioni di un set di dati, consentendo loro di identificare valori anomali, tendenze e correlazioni. Consente agli analisti di formulare ipotesi e generare domande per ulteriori indagini, guidando la direzione della successiva analisi e modellazione dei dati.

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Exploratory data analysis involves exploring, visualizing, and summarizing data to gain insights and uncover patterns. It helps researchers understand a dataset's structure, distribution, and relationships, allowing them to identify outliers, trends, and correlations. It enables analysts to form hypotheses and generate questions for further investigation, guiding the direction of subsequent data analysis and modelling.

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Analisis data eksplorasi melibatkan eksplorasi, visualisasi, dan merangkum data untuk mendapatkan wawasan dan mengungkap pola. Hal ini membantu peneliti memahami struktur, distribusi, dan hubungan kumpulan data, sehingga memungkinkan mereka mengidentifikasi outlier, tren, dan korelasi. Hal ini memungkinkan analis untuk membentuk hipotesis dan menghasilkan pertanyaan untuk penyelidikan lebih lanjut, memandu arah analisis dan pemodelan data selanjutnya.

Analisis data eksplorasi melibatkan eksplorasi, visualisasi, dan merangkum data untuk mendapatkan wawasan dan mengungkap pola. Hal ini membantu peneliti memahami struktur, distribusi, dan hubungan kumpulan data, sehingga memungkinkan mereka mengidentifikasi outlier, tren, dan korelasi. Hal ini memungkinkan analis untuk membentuk hipotesis dan menghasilkan pertanyaan untuk penyelidikan lebih lanjut, memandu arah analisis dan pemodelan data selanjutnya.

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Exploratory data analysis involves exploring, visualizing, and summarizing data to gain insights and uncover patterns. It helps researchers understand a dataset's structure, distribution, and relationships, allowing them to identify outliers, trends, and correlations. It enables analysts to form hypotheses and generate questions for further investigation, guiding the direction of subsequent data analysis and modelling.

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Könnunargagnagreining felur í sér að kanna, sjá og draga saman gögn til að fá innsýn og afhjúpa mynstur. Það hjálpar rannsakendum að skilja uppbyggingu gagnasafns, dreifingu og tengsl, sem gerir þeim kleift að bera kennsl á útlínur, þróun og fylgni. Það gerir greinendum kleift að mynda tilgátur og búa til spurningar til frekari rannsókna, leiðbeina í átt að síðari gagnagreiningu og líkanagerð.

Könnunargagnagreining felur í sér að kanna, sjá og draga saman gögn til að fá innsýn og afhjúpa mynstur. Það hjálpar rannsakendum að skilja uppbyggingu gagnasafns, dreifingu og tengsl, sem gerir þeim kleift að bera kennsl á útlínur, þróun og fylgni. Það gerir greinendum kleift að mynda tilgátur og búa til spurningar til frekari rannsókna, leiðbeina í átt að síðari gagnagreiningu og líkanagerð.

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Exploratory data analysis involves exploring, visualizing, and summarizing data to gain insights and uncover patterns. It helps researchers understand a dataset's structure, distribution, and relationships, allowing them to identify outliers, trends, and correlations. It enables analysts to form hypotheses and generate questions for further investigation, guiding the direction of subsequent data analysis and modelling.

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A feltáró adatelemzés magában foglalja az adatok feltárását, vizualizálását és összegzését, hogy betekintést nyerjen és feltárja a mintákat. Segít a kutatóknak megérteni az adatkészlet szerkezetét, eloszlását és kapcsolatait, lehetővé téve számukra a kiugró értékek, trendek és összefüggések azonosítását. Lehetővé teszi az elemzők számára, hogy hipotéziseket alkossanak és kérdéseket generáljanak a további vizsgálathoz, irányt szabva a későbbi adatelemzésnek és modellezésnek.

A feltáró adatelemzés magában foglalja az adatok feltárását, vizualizálását és összegzését, hogy betekintést nyerjen és feltárja a mintákat. Segít a kutatóknak megérteni az adatkészlet szerkezetét, eloszlását és kapcsolatait, lehetővé téve számukra a kiugró értékek, trendek és összefüggések azonosítását. Lehetővé teszi az elemzők számára, hogy hipotéziseket alkossanak és kérdéseket generáljanak a további vizsgálathoz, irányt szabva a későbbi adatelemzésnek és modellezésnek.

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Exploratory data analysis involves exploring, visualizing, and summarizing data to gain insights and uncover patterns. It helps researchers understand a dataset's structure, distribution, and relationships, allowing them to identify outliers, trends, and correlations. It enables analysts to form hypotheses and generate questions for further investigation, guiding the direction of subsequent data analysis and modelling.

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