Heatmap: Access to Care Indicators: Compare Countries (including Canada) across the world
Jul 17
How does Canada compare with other countries for Waiting time for Specialists?
How does Canada compare with some other countries for Waiting time for Specialists? Apparently, from the data and the visualization: Canada does not perform great. Values are in days (you can simply consider them as relative scales as well). The plot took averages/mean of the available data for couple of years.
Wait time for Specialists in Days
41% reported waiting two months or more, 7% more than the country ranked second-lowest; and: [Matched with the visualization.] Reference: https://www.cihi.ca/sites/default/files/document/hcic2012_intro_en.pdf
Jul 15
How different Canadian Regions/Provinces compare for Health Status Indicators?
As my code found using a dataset (on Health System Performance) from CIHI, Canada.
Available Data Averaged for 2013 to 2017
Health Status Indicators:
['Cancer Mortality (F)',
'Cancer Mortality (M)', 'Heart Disease Mortality',
'Infant Mortality', 'Life Expectancy at Birth (F)',
'Life Expectancy at Birth (M)', 'Perceived Health Status',
'Stroke Mortality',
'Suicide (F)', 'Suicide (M)',
'Transport Accident Mortality (F)', 'Transport Accident Mortality (M)'],
Jul 13
Transport Accident Mortality (Male) over a year : 2017
Compare Transport Accident Mortality (Male) for 2017 across countries (based on the data available). The same information plotted in different ways.
The values either indicate per 100k or just indicate a relative scale
Colors in the Bubble chart (also in the pie chart) were used to indicate different countries
Colors in bar charts do not add any additional meaning
Pie chart is not the best use case for this type of information. Pie chart is best suited to show information where there is one (or very few) prominent player(s)
Dataset: from CIHI, Canada
Jul 11
Transport Accident Mortality Across Countries and Canadian Provinces
Transport Accident Mortality Across Countries and Canadian Provinces: A Visualization experiment: Does it look right?
Dataset: from cihi.ca, the dataset usually uses counts per 100,000 population. The values might mean out of 100,000 (need verifications on my part) or values can just be taken as relative.
Jul 09
AI/ML/Data Science: Cross Validation: KFold Cross validation: Concepts, Examples, Projects
Train/Test Split and Cross Validation in Python
https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6
sklearn.ensemble.RandomForestRegressor¶
https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html
"A random forest regressor.
A random forest is a meta estimator that fits a number of classifying decision trees on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if bootstrap=True (default)."
Jul 07
Prediction: Bayesian: Regression: Concepts/Example Projects
Insurance HealthCare Costs: https://github.com/techshot25/HealthCare
Linear and Bayesian modeling in R: Predicting movie popularity
Bayesian-Stock-Price-Prediction
https://github.com/lschlessinger1/Bayesian-Stock-Price-Prediction
Bayesian Prediction: Well (Oil) Production
https://github.com/jpgrana/bayesian-approach-predicting-well-production
Binary Classification on Stock Market (S&P 500) using Naive Bayes and Logistic Regression
https://github.com/NeilPrabhu/Stock-Prediction
Naive Bayes Weather Prediction
https://github.com/husnainfareed/simple-naive-bayes-weather-prediction/blob/master/bayes.py
Regression Predict Fuel Efficiency:
https://www.tensorflow.org/tutorials/keras/basic_regression
Regression-Example-Predicting-House-Prices
Stock Price Prediction using Regression
https://github.com/chaitjo/regression-stock-prediction
Concept:
Predicting the Future with Bayes’ Theorem
https://fs.blog/2018/09/bayes-theorem/
Chapter 5 – Bayesian Prediction
https://www.sciencedirect.com/science/article/pii/B9780123748546000089
Books:
Bayesian Methods for Hackers
https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Multiple-linear-regression
https://github.com/topics/multiple-linear-regression
Making Predictions with Regression Analysis
https://statisticsbyjim.com/regression/predictions-regression/
Regression and Prediction
http://jukebox.esc13.net/untdeveloper/RM/Stats_Module_5/Stats_Module_56.html
Jul 07
Visualizing the Indicator Methodology Terms for the Health System Performance in Canada
File: indicator-methodology.xls
From: https://www.cihi.ca/sites/default/files/document/oecd-benchmarking-canadas-health-systems -2017-en-web.xlsx
Jul 07
Visualizing the Indicator Methodology Terms for the Health System Performance in Canada
File: indicator-methodology.xls
From: https://www.cihi.ca/sites/default/files/document/oecd-benchmarking-canadas-health-systems -2017-en-web.xlsx
Jul 07
Statistics: Data Science: Kaiser-Meyer-Olkin (KMO) Test
Kaiser-Meyer-Olkin (KMO) Test for Sampling Adequacy
https://www.statisticshowto.datasciencecentral.com/kaiser-meyer-olkin/
KMO and Bartlett’s Test
https://www.ibm.com/support/knowledgecenter/SSLVMB_23.0.0/spss/tutorials/fac_telco_kmo_01.html
What should be ideal KMO value for factor analysis?
https://www.researchgate.net/post/What_should_be_ideal_KMO_value_for_factor_analysis
