酒店数据分析师，精通运营、客户行为、收入和市场趋势。精通Python的Pandas，用于数据清理、转换、EDA和可视化。致力于利用洞察力做出明智的决策并增强客户体验。
Hospitality data analyst skilled in operations, customer behavior, revenue, and market trends. Proficient in Python s Pandas for data cleaning, transformation, EDA, and visualization. Committed to leveraging insights for informed decisions and enhanced customer experiences. (2024-02-24, Jupyter Notebook, 0KB, 下载0次)
在这个项目中，我们将探索和分析酒店预订的真实世界数据集，我们将使用Python和各种库来执行探索性数据分析（EDA）并获得见解。
In this project, We will explore and analyze a real-world dataset of hotel booking we will use Python and various libraries to perform exploratory data analysis (EDA) and gain insights. (2024-02-16, Jupyter Notebook, 0KB, 下载0次)
使用酒店预订数据集，使用python及其内置库（即Pandas、Seaborn、Matplotlib）对其执行EDA，其中我使用不同的技术和可视化绘制了有意义的见解。
Used Hotel booking dataset to perform EDA on it using python and it s inbuilt libraries (i.e Pandas,Seaborn,Matplotlib) where I drew meaningful insights using different techniques and visualization. (2024-02-06, Jupyter Notebook, 0KB, 下载0次)
使用我们的EDA存储库深入探索Booking.com数据！通过综合分析深入了解酒店和客人行为…
Explore Booking.com data in-depth with our EDA repository! Gain insights into hotels and guest behavior through a comprehensive analysis… (2024-01-14, Jupyter Notebook, 0KB, 下载0次)
使用Python进行酒店预订的探索性数据分析（EDA）项目。使用Power B分析数据并构建交互式仪表板...，
An exploratory data analysis (EDA) project on hotel bookings using Python. Analyzed data and built an interactive dashboard using Power BI to visualize insights. Discover trends, patterns, and make informed decisions in the hospitality industry. (2023-05-26, Jupyter Notebook, 0KB, 下载0次)
通过Python执行酒店收入记录的探索性数据分析（EDA），
Exploratory DATA Analyzation (EDA) For Hotel-Revenue Record is performed via Python, (2023-01-04, Jupyter Notebook, 0KB, 下载0次)
使用Python.对酒店预订数据集进行探索性数据分析。，
Exploratory Data Analysis of hotel booking dataset using Python., (2023-04-10, Jupyter Notebook, 0KB, 下载0次)
您想知道在未来7天内法国最热门的5个目的地和20家酒店是什么吗。尝试我的应用程序！你将是...，
Would you like to see what are the top 5 destinations and top 20 hotels in France to go to in the next 7 Days. Try my app! You will be amazed ???? (2023-03-13, Jupyter Notebook, 0KB, 下载0次)