Dageo Research

07/06/2022

A look at CO2 Emissions and Consumption of Oil, Coal and Gas for 44 countries between 1990 and 2020

Climate change, global warming, green house gases, environmental sustainability, et cetera have been common words over the last couple of years and that's not surprising given the already documented and predicted devastating weather and other climatic events attributed to man's activities.

An analysis of data on CO2 emissions and consumption of mainly non-renewable energy ("Dirty" Fuels) from a sample of 44 countries gives a sneak peek into the relationship between the consumption of these fuels and the amount of carbon dioxide in the atmosphere. As expected, the more hydrocarbons you burn, the more CO2 you produce in the process.

Coal, Oil and Gas consumption have positive relationships with the amount of CO2 emissions ranging from fairly strong for gas (R =0.68) to very strong relationship for oil (R = 0.88) and coal (R = 0.91). Below are a few more insights: -

1. Highest coal consumption in 2013 at 7.6Bn tons.
2. South America has the highest renewables usage at 62.6% share of electricity. The region also has the least coal consumption at 1.1Bn tons.
3. CO2 emissions have increased from 18.5B tons to 28.4B tons between 1990 and 2020 (53% increase).
4. Top 3 CO2 emitters: Asia, North America & Rest of Europe (excl. The EU).

[email protected]" rel="ugc" target="_blank">https://app.powerbi.com/groups/me/list?tenant=e00c4ff0-f10a-4e54-90b0-16a8389be427&UPN=[email protected]

20/05/2022

The World Happiness Report is in its 10th anniversary. It uses global survey data to report how people evaluate their own lives in more than 150 countries worldwide.

According to the 2021 Happiness report, Africa was the unhappiest continent at 4.5 out of 10 while Oceania (7.2), North America (6.8) and the European Union (6.6) were the happiest regions in that order.

A look at Africa's Happiness Report yielded these insights among many others: -

• There is a positive correlation between the happiness index and income per capita (R = 0.34) implying that the higher the income, the higher the happiness index and vice-versa.

• Happiest countries in Africa 2021: Mauritius, Libya & Republic of the Congo.

• As much as income, peace and other factors define happiness, it is a complex metric which depends on a myriad of many diverse factors.

15/04/2022

Dageo Research is a Market Research firm that specializes in market research, social research, consumer behavior research and media research.

The company also offers training in data wrangling (cleaning), data mining, data analytics, data visualization and data story telling.

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12/04/2022

A look at Norway's Sovereign Wealth Fund

Norway has the largest sovereign wealth fund in the world with some $1.4 trillion in assets under management. That's approx. $244,000 for every man, woman, and child in that country of 5.4 million people. The aim of the oil fund is to ensure responsible and long-term management of revenue from Norway’s oil and gas resources, so that this wealth benefits both current and future generations.

1. The fund is currently valued at 1.4 Trillion USD.

2. The fund has been invested in 9,338 companies and 70 countries around the world.

3. North America, Europe and Asia investments add up to 96.3% of the total.

4. Top investments by industry: Technology (20.5%), Consumer Discretionary (14.5%) and Financials (14.3%).

5. Top 3 companies that the fund has been invested in Kenya: Safaricom ($72.8M), Equity Bank ($37.3M) and EABL ($32.6M).

The 2020 Comprehensive Poverty Report by the Kenya National Bureau of Statistics (KNBS) indicates that 15.9 million out of 44.2 million Kenyans are poor, describing this scenario as an adult earning less than Sh3,252 in rural areas and Sh5,995 monthly in urban areas.

If Kenya's oil is finally mined and sold, the government might want to consider going the Norway route and invest the oil money as a national wealth fund mainly in form of fixed assets and stocks.

https://public.tableau.com/app/profile/kyalo.musyoka/viz/AlookatNorwaysSovereignWealthFund/Dashboard1

04/04/2022

Next week on Good Friday, 15th April 2022, it will be 110 years since the sinking of the Titanic.

The large ship struck an iceberg at 11:40 pm (ship's time) on 14th April 1912 on her maiden voyage and sank 2 hours 40 minutes later on 15th April 1912. It was carrying an estimated 2,224 passengers and crew and more than 1,500 people perished.

Insufficient lifeboats was cited as the major reason for the huge loss of lives - roughly 70% of all passengers and crew died. Hypothermia also played a part since many people couldn't survive long enough to be rescued in the subzero temperatures.

However, there were four other factors that didn't have anything to do with lifeboats or temperatures.

1. Age: For each 1-year increase in age, the odds of survival decreased by 3.9%, holding constant all the other factors.

2. Number of siblings/spouses aboard: For each 1-person increase in the number of siblings/spouses aboard, the odds of survival decreased by 28%, holding constant all the other factors.

3. Passenger Class
(i) The odds of survival were 9.5 times higher for passengers in first class (compared to those in third class), holding constant all the other factors.
(ii) The odds of survival were 1.7 times higher for passengers in second class (compared to those in third class), holding constant all the other factors.

4. Gender of passenger: the odds of survival were 12.2 times higher for female passengers (compared to male passengers), holding constant all the other factors.

https://public.tableau.com/app/profile/kyalo.musyoka/viz/WouldyouhavesurvivedtheTitanicTragedy/Dashboard1

28/03/2022

COVID-19 LATEST STATS

1. Peru has the highest number of deaths per one million people (6,280).
2. For every 1 million people, China has lost only 3 people to Covid-19.
3. There is a positive and fairly strong correlation between the number of cases and the number of deaths per million people (R = 0.502) and also between the number of cases and number of tests for every one million people (R = 0.617).
4. Other countries with significantly high number of deaths for every one million people are Bulgaria (5,307) and Bosnia and Herzegovina (4,838).

https://public.tableau.com/app/profile/kyalo.musyoka/viz/COVID-19LATESTSTATS/COVID-19LATESTSTATS

28/03/2022

CO2 Emissions Versus Renewable Energy Consumption per Country

Investing and consumption of leads to a reduction in CO2 emissions.

Note: is NOT

1. There is an inverse and moderate strong relationship between CO2 emissions and renewable energy consumption (coefficient of correlation, R = -0.5714). As the renewable energy consumption increases, CO2 emissions decrease.

2. An increase in the renewable energy consumption by one unit leads to a decrease in the CO2 emissions by 0.1003 units. 27.58% of the changes in the CO2 emissions is explained by renewable energy consumption holding other factors constant.

3. Countries such as Qatar, UAE, Kuwait and Bahrain are outliers because they have significantly high levels of CO2 emissions and zero renewable energy consumption.

4. The analysis and results reveal the importance of investing in renewable energy sources to tackle CO2 emissions and global warming.

Data courtesy of the

https://lnkd.in/gET4thU5 via

18/03/2022

CO2 Emissions Versus Renewable Energy Consumption per Country

Investing and consuming leads to a reduction in CO2 emissions.

Note: is NOT

1. There is an inverse and moderate strong relationship between CO2 emissions and renewable energy consumption (coefficient of correlation, R = -0.5714). As the renewable energy consumption increases, CO2 emissions decrease.
2. An increase in the renewable energy consumption by one unit leads to a decrease in the CO2 emissions by 0.1003 units. 27.58% of the changes in the CO2 emissions is explained by renewable energy consumption holding other factors constant.
3. Countries such as Qatar, UAE, Kuwait and Bahrain are outliers because they have significantly high levels of CO2 emissions and zero renewable energy consumption.
4. The analysis and results reveal the importance of investing in renewable energy sources to tackle CO2 emissions and global warming.

Data courtesy of the

https://lnkd.in/gET4thU5 via

🌍

CO2 Emissions Versus Renewable Energy Consumption per Country

15/03/2022

A to Z of common statistical terms by Cassie Kozyrkov , Head of Decision Intelligence, at Google

"Analytics is all about finding good questions, while statistics is all about finding good answers." - Cassie Kozyrkov

https://towardsdatascience.com/stats-gist-list-an-irreverent-statisticians-guide-to-jargon-be8173df090d

Plain-language bandaids to fix gaps in your statistics knowledge

07/03/2022

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02/03/2022

A Big Problem with Linear Regression and How to Solve It
- Introduction to Robust Regression in Machine Learning

Linear regression is a linear approach for modelling the relationship between a scalar response (also referred to as the y-variable, outcome or dependent variable) and one or more explanatory variables (also referred to as x-variables, predictor or independent variables).

Robust Regression

The ordinary least squares estimates for linear regression are optimal when all of the regression assumptions are valid. When some of these assumptions are invalid, least squares regression can perform poorly.

Robust regression methods provide an alternative to least squares regression by requiring less restrictive assumptions. These methods attempt to dampen the influence of outliers in order to provide a better fit to the majority of the data.

https://towardsdatascience.com/robust-regression-23b633e5d6a5

31/01/2022

Data does not speak for itself? Start asking questions!

https://towardsdatascience.com/data-does-not-speak-for-itself-start-asking-questions-4e152274d605