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खोजपूर्ण डेटा विश्लेषण में अंतर्दृष्टि प्राप्त करने और पैटर्न को उजागर करने के लिए डेटा की खोज, कल्पना और सारांश शामिल है। यह शोधकर्ताओं को डेटासेट की संरचना, वितरण और संबंधों को समझने में मदद करता है, जिससे उन्हें आउटलेर्स, रुझानों और सहसंबंधों की पहचान करने की अनुमति मिलती है। यह विश्लेषकों को परिकल्पना बनाने और आगे की जांच के लिए प्रश्न उत्पन्न करने, बाद के डेटा विश्लेषण और मॉडलिंग की दिशा का मार्गदर्शन करने में सक्षम बनाता है।

खोजपूर्ण डेटा विश्लेषण में अंतर्दृष्टि प्राप्त करने और पैटर्न को उजागर करने के लिए डेटा की खोज, कल्पना और सारांश शामिल है। यह शोधकर्ताओं को डेटासेट की संरचना, वितरण और संबंधों को समझने में मदद करता है, जिससे उन्हें आउटलेर्स, रुझानों और सहसंबंधों की पहचान करने की अनुमति मिलती है। यह विश्लेषकों को परिकल्पना बनाने और आगे की जांच के लिए प्रश्न उत्पन्न करने, बाद के डेटा विश्लेषण और मॉडलिंग की दिशा का मार्गदर्शन करने में सक्षम बनाता है।

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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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સંશોધનાત્મક ડેટા વિશ્લેષણમાં આંતરદૃષ્ટિ મેળવવા અને પેટર્નને ઉજાગર કરવા માટે ડેટાનું અન્વેષણ, વિઝ્યુલાઇઝિંગ અને સારાંશનો સમાવેશ થાય છે. તે સંશોધકોને ડેટાસેટનું માળખું, વિતરણ અને સંબંધોને સમજવામાં મદદ કરે છે, જેનાથી તેઓ બાહ્ય, વલણો અને સહસંબંધોને ઓળખી શકે છે. તે વિશ્લેષકોને પૂર્વધારણાઓ રચવા અને વધુ તપાસ માટે પ્રશ્નો પેદા કરવા સક્ષમ બનાવે છે, અનુગામી ડેટા વિશ્લેષણ અને મોડેલિંગની દિશામાં માર્ગદર્શન આપે છે.

સંશોધનાત્મક ડેટા વિશ્લેષણમાં આંતરદૃષ્ટિ મેળવવા અને પેટર્નને ઉજાગર કરવા માટે ડેટાનું અન્વેષણ, વિઝ્યુલાઇઝિંગ અને સારાંશનો સમાવેશ થાય છે. તે સંશોધકોને ડેટાસેટનું માળખું, વિતરણ અને સંબંધોને સમજવામાં મદદ કરે છે, જેનાથી તેઓ બાહ્ય, વલણો અને સહસંબંધોને ઓળખી શકે છે. તે વિશ્લેષકોને પૂર્વધારણાઓ રચવા અને વધુ તપાસ માટે પ્રશ્નો પેદા કરવા સક્ષમ બનાવે છે, અનુગામી ડેટા વિશ્લેષણ અને મોડેલિંગની દિશામાં માર્ગદર્શન આપે છે.

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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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Η διερευνητική ανάλυση δεδομένων περιλαμβάνει την εξερεύνηση, την οπτικοποίηση και τη σύνοψη δεδομένων για την απόκτηση γνώσεων και την αποκάλυψη μοτίβων. Βοηθά τους ερευνητές να κατανοήσουν τη δομή, τη διανομή και τις σχέσεις ενός συνόλου δεδομένων, επιτρέποντάς τους να προσδιορίσουν ακραίες τιμές, τάσεις και συσχετίσεις. Επιτρέπει στους αναλυτές να σχηματίσουν υποθέσεις και να δημιουργήσουν ερωτήματα για περαιτέρω διερεύνηση, καθοδηγώντας την κατεύθυνση της μετέπειτα ανάλυσης και μοντελοποίησης δεδομένων.

Η διερευνητική ανάλυση δεδομένων περιλαμβάνει την εξερεύνηση, την οπτικοποίηση και τη σύνοψη δεδομένων για την απόκτηση γνώσεων και την αποκάλυψη μοτίβων. Βοηθά τους ερευνητές να κατανοήσουν τη δομή, τη διανομή και τις σχέσεις ενός συνόλου δεδομένων, επιτρέποντάς τους να προσδιορίσουν ακραίες τιμές, τάσεις και συσχετίσεις. Επιτρέπει στους αναλυτές να σχηματίσουν υποθέσεις και να δημιουργήσουν ερωτήματα για περαιτέρω διερεύνηση, καθοδηγώντας την κατεύθυνση της μετέπειτα ανάλυσης και μοντελοποίησης δεδομένων.

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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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Bei der explorativen Datenanalyse geht es darum, Daten zu untersuchen, zu visualisieren und zusammenzufassen, um Erkenntnisse zu gewinnen und Muster aufzudecken. Es hilft Forschern, die Struktur, Verteilung und Beziehungen eines Datensatzes zu verstehen und ermöglicht es ihnen, Ausreißer, Trends und Korrelationen zu identifizieren. Es ermöglicht Analysten, Hypothesen aufzustellen und Fragen für weitere Untersuchungen zu generieren und so die Richtung der anschließenden Datenanalyse und Modellierung festzulegen.

Bei der explorativen Datenanalyse geht es darum, Daten zu untersuchen, zu visualisieren und zusammenzufassen, um Erkenntnisse zu gewinnen und Muster aufzudecken. Es hilft Forschern, die Struktur, Verteilung und Beziehungen eines Datensatzes zu verstehen und ermöglicht es ihnen, Ausreißer, Trends und Korrelationen zu identifizieren. Es ermöglicht Analysten, Hypothesen aufzustellen und Fragen für weitere Untersuchungen zu generieren und so die Richtung der anschließenden Datenanalyse und Modellierung festzulegen.

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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'analyse exploratoire des données consiste à explorer, visualiser et résumer les données pour obtenir des informations et découvrir des modèles. Il aide les chercheurs à comprendre la structure, la distribution et les relations d'un ensemble de données, leur permettant ainsi d'identifier les valeurs aberrantes, les tendances et les corrélations. Il permet aux analystes de formuler des hypothèses et de générer des questions pour une enquête plus approfondie, guidant ainsi l'orientation de l'analyse et de la modélisation ultérieures des données.

L'analyse exploratoire des données consiste à explorer, visualiser et résumer les données pour obtenir des informations et découvrir des modèles. Il aide les chercheurs à comprendre la structure, la distribution et les relations d'un ensemble de données, leur permettant ainsi d'identifier les valeurs aberrantes, les tendances et les corrélations. Il permet aux analystes de formuler des hypothèses et de générer des questions pour une enquête plus approfondie, guidant ainsi l'orientation de l'analyse et de la modélisation ultérieures des données.

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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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