Project R- Data Cleaning- EDA- Visualization
- kaggle.com
zipUpdated Dec 10, 2023
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EmailClick to copy linkLink copiedCiteHussein Al Chami (2023). Project R- Data Cleaning- EDA- Visualization [Dataset]. https://www.kaggle.com/datasets/husseinalchami/project-r-data-cleaning-eda-visualization/codezip(479277 bytes)Available download formatsDataset updatedDec 10, 2023AuthorsHussein Al ChamiDescriptionDataset
This dataset was created by Hussein Al Chami
Contents
Bellabeat case study using R
- kaggle.com
Updated Oct 29, 2022+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteR. Naga Amrutha (2022). Bellabeat case study using R [Dataset]. https://www.kaggle.com/datasets/rnagaamrutha/bellabeatcasestudywithr/codeCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 29, 2022AuthorsR. Naga AmruthaDescriptionDataset
This dataset was created by R. Naga Amrutha
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IBM_Debater_(R)_ArgsInASR_Findings-2020.v1
- kaggle.com
zipUpdated Dec 31, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCite@kaggleqrdl (2021). IBM_Debater_(R)_ArgsInASR_Findings-2020.v1 [Dataset]. https://www.kaggle.com/datasets/kaggleqrdl/ibmdebater-argsinasrfindings-2020/codezip(131248 bytes)Available download formatsDataset updatedDec 31, 2021Authors@kaggleqrdlLicenseAttribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
License information was derived automaticallyDescriptionDataset
This dataset was created by @kaggleqrdl
Released under CC BY-SA 3.0
Contents
Capstone project data sets group-8
- kaggle.com
Updated Oct 25, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSubhendu R (2023). Capstone project data sets group-8 [Dataset]. https://www.kaggle.com/subhendur/capstone-project-data-sets-group-8/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 25, 2023AuthorsSubhendu RLicensehttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html
DescriptionDataset
This dataset was created by Subhendu R
Released under GPL 2
Contents
Visualization of Eye-Tracking Scanpaths in Autism Spectrum Disorder: Image...
- figshare.com
application/x-rarUpdated May 30, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteMahmoud Elbattah (2023). Visualization of Eye-Tracking Scanpaths in Autism Spectrum Disorder: Image Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.7073087.v1application/x-rarAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.7073087.v1Dataset updatedMay 30, 2023Dataset provided byfigshareAuthorsMahmoud ElbattahLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionWe provide a dataset that includes visualizations of eye-tracking scanpaths with a particular focus Autism Spectrum Disorder (ASD). The key idea is to transform the dynamics of eye motion into visual patterns, and hence diagnosis-related tasks could be approached using image analysis techniques. The image dataset is publicly available to be used by other studies aiming to experiment the usability of eye-tracking within the ASD context. It is believed that the dataset can allow for the development of further interesting applications using Machine Learning or image processing techniques. For more info, please refer to the publication below and the project website.Original Publication:Carette, R., Elbattah, M., Dequen, G., Guérin, J, & Cilia, F. (2019, February). Learning to predict autism spectrum disorder based on the visual patterns of eye-tracking scanpaths. In Proceedings of the 12th International Conference on Health Informatics (HEALTHINF 2019).Project Website:https://www.researchgate.net/project/Predicting-Autism-Spectrum-Disorder-Using-Machine-Learning-and-Eye-Trackinghttps://mahmoud-elbattah.github.io/ML4Autism/
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Data Cleaning Sample
- borealisdata.ca
- dataone.org
Updated Jul 13, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRong Luo (2023). Data Cleaning Sample [Dataset]. http://doi.org/10.5683/SP3/ZCN177CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Unique identifierhttps://doi.org/10.5683/SP3/ZCN177Dataset updatedJul 13, 2023Dataset provided byBorealisAuthorsRong LuoLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionSample data for exercises in Further Adventures in Data Cleaning.
hand written project
- kaggle.com
zipUpdated Sep 10, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteR Sivaram Gupta (2023). hand written project [Dataset]. https://www.kaggle.com/datasets/rsivaramgupta/hand-written-project/suggestionszip(1081 bytes)Available download formatsDataset updatedSep 10, 2023AuthorsR Sivaram GuptaDescriptionDataset
This dataset was created by R Sivaram Gupta
Contents
Google Data Analytics Capstone
- kaggle.com
Updated Aug 9, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteReilly McCarthy (2022). Google Data Analytics Capstone [Dataset]. https://www.kaggle.com/datasets/reillymccarthy/google-data-analytics-capstone/discussionCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedAug 9, 2022AuthorsReilly McCarthyLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionHello! Welcome to the Capstone project I have completed to earn my Data Analytics certificate through Google. I chose to complete this case study through RStudio desktop. The reason I did this is that R is the primary new concept I learned throughout this course. I wanted to embrace my curiosity and learn more about R through this project. In the beginning of this report I will provide the scenario of the case study I was given. After this I will walk you through my Data Analysis process based on the steps I learned in this course:
- Ask
- Prepare
- Process
- Analyze
- Share
- Act
The data I used for this analysis comes from this FitBit data set: https://www.kaggle.com/datasets/arashnic/fitbit
" This dataset generated by respondents to a distributed survey via Amazon Mechanical Turk between 03.12.2016-05.12.2016. Thirty eligible Fitbit users consented to the submission of personal tracker data, including minute-level output for physical activity, heart rate, and sleep monitoring. "
Final Project - Olist Ecommerce & Department Store
- kaggle.com
Updated Mar 5, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRamadya Tridhana R (2023). Final Project - Olist Ecommerce & Department Store [Dataset]. https://www.kaggle.com/datasets/ramadyatridhanar/final-project-olist-ecommerce-and-department-store/codeCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 5, 2023AuthorsRamadya Tridhana RDescriptionDataset
This dataset was created by Ramadya Tridhana R
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This dataset was created by Hussein Al Chami