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ANL ISIS EXPLORATORY DE LA INNOVATION Y TECHNOLOGY DE LAS EMPRESS EN COLOMBIA. CAS ODE STUDIO: Medellín. 20062012ESTEFANA GOMEZ Berates de GradoAsesores: VERY PATRICIA TAM AYO PLATE VERMILION VASQUEZ
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Start by collecting the dataset you want to analyze.
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Open a software or programming language that can handle data analysis, such as Python or R.
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Explore the variables in the dataset by checking their data types, distributions, and any missing values.
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Visualize the data using plots and charts to gain insights and understand patterns.
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Calculate basic statistics such as mean, median, and standard deviation for numerical variables.
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Conduct correlation analysis to identify relationships between variables.
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Identify outliers or extreme values in the data.
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Conduct hypothesis testing or statistical analysis if necessary.
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Summarize and interpret the findings from the exploratory analysis.
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