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Analyzing the Titanic dataset sourced from seaborn, using pandas, seaborn, matplotlib.plotly, numpy, etc.

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This is a project conducted via the Jupyter Lab environment, using Seaborn, Pandas and Numpy to clean, analyze and visualize the dataset. The dataset was sourced via Seaborn from Seaborn. Age was grouped for easy analysis using pandas cut.

FIND THE PROMPT QUESTION AS FOLLOWS: -- Load the titanic dataset from seaborn library -- Group the ages and create age bins and labels -- How many people based on age categories: - survived? - did not survive? -- Create appropriate plot to explain findings.

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Analyzing the Titanic dataset sourced from seaborn, using pandas, seaborn, matplotlib.plotly, numpy, etc.

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