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The primary goals are to understand cancellation rates across different countries and to perform a comprehensive analysis of the dataset using data visualization techniques.** \u003cbr\u003e\n\n## Data Analysis\n\n--Examined cancellation rates by state.\u003cbr\u003e\n--Analyzed various aspects of hotel booking data, including booking patterns, guest demographics, and seasonal trends.\u003cbr\u003e\n\n## Analysis and Visualizations\n\nThe following visualizations were created to better understand hotel cancellation trends:\n\n- **Bar Plots**: To find reservation status count (cancellation or not cancellation)\n- **Count Plots**: Displays counts of resort hotel and city hotel. \n- **Pie Charts**: Illustrates countries that cancelled the reservation.\nAnd many more charts.\n\n**Run the analysis**:\nFollow the steps in the notebook or script to load the data, perform the analysis, and visualize the results.\n\n**MySQL Connection**:\nMake sure to configure MySQL credentials to connect and save data permanently.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyapuranik%2Fdata-analytics-using_python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpriyapuranik%2Fdata-analytics-using_python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpriyapuranik%2Fdata-analytics-using_python/lists"}