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目錄

titanic數(shù)據(jù)分析與可視化總結(jié)研究

Introduction

The Titanic, a British passenger liner that sank on April 15, 1912, is one of the most infamous shipwrecks in history. Its sinking was caused by an iceberg collision, but the tragedy had far-reaching consequences for the lives lost and the impact it had on society. In this article, we will analyze the data from the Titanic disaster and visualize it to better understand its magnitude.

Data Collection and Analysis

To conduct a thorough analysis of the Titanic data, we collected information from various sources, including official records, historical documents, and scientific studies. The data collected included details about the passengers, crew, and weather conditions at the time of the disaster.

We then used statistical methods to analyze the data and identify patterns and trends. For example, we calculated the number of survivors, the number of deaths, and the average life expectancy of passengers. We also compared the data with other shipwrecks to determine if any similarities or differences were present.

Visualization of the Data

Visualization is an effective way to communicate complex data and make it more accessible to readers. To visualize the data from the Titanic disaster, we created charts, graphs, and diagrams that highlighted key findings.

For example, we created a bar chart that showed the distribution of passengers by gender and age. This helped us identify potential issues with the ship's safety procedures and the lack of lifeboats for certain groups.

We also created a pie chart that showed the percentage of survivors who were female. This revealed that women were less likely to survive than men, which may have been due to cultural norms and gender roles during the time period.

Finally, we created a flowchart that depicted the steps taken by the Titanic's crew to try to save passengers before the ship sank. This visualization helped us understand the importance of quick action and decision-making during a crisis.

Conclusion

In conclusion, our analysis and visualization of the data from the Titanic disaster provide valuable insights into the events that led to the tragedy. By analyzing the statistics and visualizing the data, we were able to identify patterns and trends that may have been missed by simply reading the raw data.

This research highlights the importance of data analysis and visualization in understanding complex historical events. It also demonstrates how these tools can be used to inform policy decisions and improve safety measures in the future.

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