{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":532010112,"defaultBranch":"main","name":"VISUALISATION","ownerLogin":"SONERIKHI","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2022-09-02T16:57:16.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/112720079?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1684894774.702344","currentOid":""},"activityList":{"items":[{"before":"8fa51962b9d1611154c58bc2fd4566e5ed232265","after":"373545ef32c0fc06781b16f653eda17ebc0f8546","ref":"refs/heads/main","pushedAt":"2023-05-24T02:19:34.616Z","pushType":"push","commitsCount":1,"pusher":{"login":"SONERIKHI","name":"SONIA RIKHI","path":"/SONERIKHI","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/112720079?s=80&v=4"},"commit":{"message":"Add files via upload\n\nThe \"tips dataset\" typically refers to a popular dataset in the field of data science and machine learning, known as the \"Tips dataset\" or the \"Restaurant Tips dataset.\" This dataset contains information about various restaurant bills, including the total bill amount, the tip amount given by the customer, and other relevant factors that can potentially influence the tip.\r\n\r\nHere is a general description of the typical features found in the tips dataset:\r\n\r\nTotal Bill: The total amount of money spent by the customer, including the cost of food, beverages, and any additional charges.\r\n\r\nTip: The amount of money given by the customer as a tip to the server or waiter/waitress.\r\n\r\nSex: The gender of the person who paid the bill (usually represented as \"Male\" or \"Female\").\r\n\r\nSmoker: Indicates whether the customer is a smoker or a non-smoker (often represented as \"Yes\" or \"No\").\r\n\r\nDay: The day of the week when the bill was paid (e.g., \"Sunday,\" \"Monday,\" etc.).\r\n\r\nTime: The time of day when the bill was paid (e.g., \"Lunch,\" \"Dinner,\" etc.).\r\n\r\nSize: The number of people in the dining party.\r\n\r\nOther Variables: Depending on the specific version of the dataset, there may be additional features such as the customer's age, the type of cuisine served in the restaurant, and the region or location where the restaurant is situated.\r\n\r\nThe purpose of analyzing the tips dataset is to explore relationships between these variables and understand patterns in tipping behavior. Researchers and data scientists can use this dataset to develop predictive models, understand tipping habits based on different factors, or explore the impact of variables like gender, party size, or time of day on tipping behavior.\r\n\r\nIt's worth noting that while the tips dataset is often used as a sample dataset for learning purposes, there are multiple versions and variations available, each with its own specific characteristics and additional features.","shortMessageHtmlLink":"Add files via upload"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"startCursor":"Y3Vyc29yOnYyOpK7MjAyMy0wNS0yNFQwMjoxOTozNC42MTYzOTlazwAAAAMy51cj","endCursor":"Y3Vyc29yOnYyOpK7MjAyMy0wNS0yNFQwMjoxOTozNC42MTYzOTlazwAAAAMy51cj"}},"title":"Activity · SONERIKHI/VISUALISATION"}