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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Titanic Data Exploration\n\n## Dataset\n\nI've choose this dataset for the visualizations Project to communicate data findings. this dataset have records of the passengers who were in the Titanic backthen,like the surviving status, siblings, classes, age, fare....\nit's from kaggle and it's mainly for machine learning. but i find it very neat and will be good for the visualization purpurses of this project as i manged to get intersiting qustions.\nyou can find the dataset here:\nhttps://www.kaggle.com/c/titanic/data\n\n\n## Summary of Findings\n\nIn the exploration, I found that there was a strong relationship between the\nsurvivors and their gender, female have more chances of suviving. majority of people didn't survive.\nand most people were between the age of 19 and 35, and yenger people had more chances of surviving.\n\nmajority had low fare low class, and it turned out that the higher the class and the fare, the higher the chances of surviving.\nmajority of people traveled without family too, and it turnd out that those people had less chance of survivig \ncompared to travellers with family.\nmajority of people are with low badjet and with ages between 17 and 32\n\n\n\n## Key Insights for Presentation\n\nFor the presentation, I start by introducing the questions, followed by the pattern in carat distribution, \nthen the answer.\n\nI introduced each of the Univariate variables one by one. To start,\nI use the bar and pie chart plots of survivors. then the age distribution in a violin chart. \nthen the fare in hist chart. then the class and siblings number then started to answer the rest of the questions by the Multivariate Relationships between varibles.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feslamdyab21%2Fdata-visualization-using-matplotlib-and-seaborn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feslamdyab21%2Fdata-visualization-using-matplotlib-and-seaborn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feslamdyab21%2Fdata-visualization-using-matplotlib-and-seaborn/lists"}