Exploratory Data Analysis (EDA)
Data analysis is an important part of many scientific researches, but it is also playing an increasingly important role in the business world. Exploratory data analysis (EDA) is an approach that makes it possible to gain an initial overview of the structure and relationships of data through a comprehensive visual and descriptive analysis.
Unlike other statistical methods that rely on predefined assumptions and models, EDA lets the data speak for itself. Patterns and relationships in the data can be identified using various visualization techniques such as histograms, scatter diagrams or box plots. These techniques allow us to quickly see which models can be applied to the data and what further questions can be generated from the data.
Leonardo Miljko offers extensive statistical consulting and data analysis services to help companies and researchers analyze their data. With his experience and expertise in applying EDA methods, he can help to visualize and interpret the data to gain important insights into business processes or research questions.
Whether it's analyzing customer feedback, examining sales data or researching medical data, Leonardo Miljko can help you use your data effectively to make informed decisions and achieve your goals.
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exploratory data analysis, visualization techniques, statistical methods, data analysis services, Leonardo Miljko, customer feedback analysis, sales data, medical data
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Learn how exploratory data analysis (EDA) can help identify patterns and relationships in your data. Leonardo Miljko's statistical consulting and data analysis services support companies and researchers in analyzing their data and gaining important insights into business processes or research questions. Contact us for more information.
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