http://www.tripadvisor.com/

博客提供了TripAdvisor网站的链接,网址为http://www.tripadvisor.com/ ,但未包含更多信息技术相关关键信息。
In this project, your team (a one-person team of yourself or a team of three or fewer students) will develop an interactive data app using streamlit and other data science packages we have learned in this semester to tell a story with real-world data. Your team should choose a dataset from Kaggle.com. Try to find the dataset with the following characteristics: has detailed data description and high quality (use Kaggle usability score as a reference) has real business value has enough data points (minimal 500) is not too large (use the following code to sample some data or use https://docs.streamlit.io/library/api-reference/performance/st.cache to cache the data) - NOTE: if the data file is too large, you may not be able to push it to Github - in real situation, a database should be used for large datasets. Sample Datasets Some sample datasets are listed below for your reference (you don’t have to choose those): NFT dataset (by me): https://www.kaggle.com/datasets/harrywang/crypto-coven TMDB 5000 Movie Dataset: https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata Top Spotify songs from 2010-2019: https://www.kaggle.com/datasets/leonardopena/top-spotify-songs-from-20102019-by-year Uber Fares Dataset: https://www.kaggle.com/datasets/yasserh/uber-fares-dataset TripAdvisor Restaurants Info for 31 Euro-Cities: https://www.kaggle.com/datasets/damienbeneschi/krakow-ta-restaurans-data-raw Requirements The app should help users understand your dataset and show useful insights about your dataset based on your analysis. You app should meet the following basic requirements: At least two different queries/questions and display the answers using the data science tools we learned. Some sample questions is shown below: (for housing dataset) Based on ocean proximity, analyze the relationship between the average income and average housing price, and draw some conclusions. (for the titanic dataset) Is gender affecting the survival rate? Do any other features (columns) significantly affect the survival rate? At least three different types of plots (such as line chart, histogram, etc.) must be developed to show some EDA results of your dataset (use legends, colors, labels, titles, as appropriate) At least two different type of filtering widgets (slider, input box, single or multi select, etc.) to interact with your dataset The code of your app must be pushed to a Github repo with a detailed readme file Your Github repo must be published using Github Pages as a website Your app must be fully deployed in Streamlit Cloud and fully functional
最新发布
10-22
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值