Lista de conjuntos de dados utilizados no Avanti Bootcamp.
diamonds: https://ggplot2.tidyverse.org/reference/diamonds.htmlmpg: https://data.world/dataman-udit/cars-datapenguins: https://github.com/allisonhorst/penguinstips: https://rdrr.io/cran/reshape2/man/tips.htmltitanic: https://www.kaggle.com/c/titanic/datasleep_efficiency: https://www.kaggle.com/datasets/equilibriumm/sleep-efficiencydiabetes: https://www.kaggle.com/datasets/iammustafatz/diabetes-prediction-datasetchurn: https://www.kaggle.com/datasets/saurabhbadole/bank-customer-churn-prediction-datasetorange_quality: https://www.kaggle.com/datasets/shruthiiiee/orange-qualityheart_disease: https://www.kaggle.com/datasets/mexwell/heart-disease-datasetbike-sharing-day: https://www.kaggle.com/datasets/lakshmi25npathi/bike-sharing-datasetspanish_wines: https://www.kaggle.com/datasets/fedesoriano/spanish-wine-quality-datasetcars-90000: https://www.kaggle.com/datasets/meruvulikith/90000-cars-data-from-1970-to-2024fipe-2022.csv: https://www.kaggle.com/datasets/vagnerbessa/average-car-prices-bazildf_rides.csv: https://www.kaggle.com/datasets/joseguilhermelopes/bike-sharing-system-in-brasilia-brazilbeer_consumption.csv: https://www.kaggle.com/datasets/dongeorge/beer-consumption-sao-paulobrazilian-temperatura-timeseries/: https://www.kaggle.com/datasets/volpatto/temperature-timeseries-for-some-brazilian-citiesbrazilian-credit-card-spending.csv: https://www.kaggle.com/datasets/sufyant/brazilian-real-bank-datasetpet_adoption_data.csv: https://www.kaggle.com/datasets/rabieelkharoua/predict-pet-adoption-status-datasetbrazilian-real-estate.csv: https://www.kaggle.com/datasets/ashishkumarjayswal/brasil-real-estatehousing_sp_city.csv: https://www.kaggle.com/datasets/ex0ticone/house-prices-of-sao-paulo-citylaptop_price.csv: https://www.kaggle.com/datasets/muhammetvarl/laptop-pricestudent_habits_performance: https://www.kaggle.com/datasets/jayaantanaath/student-habits-vs-academic-performanceenergy_demand_hourly_brazil.csv: https://www.kaggle.com/datasets/arusouza/23-years-of-hourly-eletric-energy-demand-brazil