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Dataset of 130k wine reviews were randomly selected and transformed into a 1000 wine reviews CSV in order to analyze different types of wines in python. Python, Pandas and MatPlotLib were used for analysis. A Powerpoint was created to present our findings.

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Wine_Project

Objective

  • Project was designed to uncover new insights within the wine industry by analyzing data from 130k wine reviews. This will allow us to examine different wines from all over the world where wine enthusiast ranked their favorite wines based on price, taste, variety, country/region, and winery.

Analysis

  • "Group_Project_PP_Final.pptx" located in the repository is a visual aid to help display our findings. This could be used in a presentation.
  • "Anthony_Question5_Final.ipynb" contains all of the code that was used for analysis as well as the dataframes and graphs that were created during analysis.

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Dataset of 130k wine reviews were randomly selected and transformed into a 1000 wine reviews CSV in order to analyze different types of wines in python. Python, Pandas and MatPlotLib were used for analysis. A Powerpoint was created to present our findings.

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