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Context The World Happiness Report is a landmark survey of the state of global happiness . The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness. Key Features in 'world-happiness-report': Life Ladder: It is the score for happiness and liveability. The high ladder score represents the best possible life for you and low ladder score represents the worst possible life for you. Log GDP per capita: It shows how much economic production value can be attributed to each individual citizen. Alternatively, this translates to a measure of national wealth since GDP market value per person also readily serves as a prosperity measure. Social support: It is defined in terms of social network characteristics such as assistance from family, friends, neighbours and other community members. Healthy life expectancy at birth: Healthy life expectancy is the average life in good health - that is to say without irreversible limitation of activity in daily life or incapacities - of a fictitious generation subject to the conditions of mortality and morbidity prevailing that year Freedom to make life choices: Freedom of choice describes an individual's opportunity and autonomy to perform an action selected from at least two available options, unconstrained by external parties. Generosity Generosity is the virtue of being liberal in giving, often as gifts. Perceptions of corruption: Corruption is a form of dishonesty or criminal offense undertaken by a person or organization entrusted with a position of authority, to acquire illicit benefit

In this project, I have used the US Economic Data to explore how variation in GDP makes an impact on the unemployment rate. Then I make a dashboard to display the line chart that compares both GDP variation & unemployment rate variations.

Have you seen tea-hawkers with digital payment these days? I’m sure you have seen them and maybe even paid digitally. That is the result of a digital era. Every human evolves with time and so have all the businesses due to digitization and globalization. The very basic goal of every corporation is to earn profits in the future and sustain itself in the market. But now they face challenges to constantly adapt to the technology, to remain in the competitive market. Is it that easy to alter and transform that consistently with the successive trends in the economy? The secret ingredient to this is innovation, strategy, and reasoning. Digital Literacy has become a necessity today. There is hardly any industry that has not been impacted by the technology sector be it Health, Finance, Retail, Education, Media,Professional services and this list goes on and on. The Business World & its Requirement IT sector is a beneficiary of technology whose contribution to India’s GDP has increased from 1.2% in 1998 to 7.7% in 2017. This sector provides us with software, hardware, internet or related services, and other necessary equipment. A computer engineer is a person who is responsible for the proper functioning of a computer and its applications. He makes sure that both the software and hardware is in order. Why do we need Computer Engineers? Just as technology makes our life easier, Computer Engineers are the right hands for a Graphic Designer who assembles texts, images, and motion pictures into artwork. Every company needs a Graphic Designer to reach and attract its audience, promote its products, strengthen its brand, aid in graphic communication and help them to stand out. With the increasing competition in the market, every organization wants an upper hand over the other. Digital media with the assistance of Graphic Designers provides individual attention to the needs and taste of customers. Pune has numerous engineering colleges offering thousands of courses. Having MIT WPU University makes it a more pleasant place for Computer Operators. Hence, Computer Operator jobs in Pune are more preferred and stipulated. Graphic Designers are the future and their demand will nothing but increase in coming years. All large Multi-National Companies such as Google, Amazon, Microsoft, Facebook need Graphic Designers. They can also work at there convenience as freelancers and there are thousands of freelance graphic designers jobs available in Bangalore. Traits of an accomplished Graphic Designer Some essential characteristics add Great to a Graphic Designer. Some qualities that help you emerge as the best one are as follows: COMMUNICATION A designer has to be a good communicator to negotiate and discuss the information in detail with the client. His exceptional communication skills will assist him to deliver the brand and the clients idea. PASSION Graphic designing is a creative industry that demands a lot of detailing, prolonged hours of work, Tricky edits, and a load of work. He can’t enjoy his work if he doesn’t give in one hundred percent. With the talent, he needs to be passionate about it too. Being driven about his job keeps him going and teaches him time management. EVOLUTION Being a designer is a long-term process and he has to constantly grow in this industry. One has to keep embracing new values. Nobody knows it all hence he has to seek new inspiration and keep thriving. With trends and upgraded technology, he has to stay ahead and continue educating himself. RELIABILITY Every company or client wants a dependable employee. To ensure a lifelong and delightful relationship with the client, he should be trustworthy and consistent. It’s always a plus point to have someone they can count on. OPEN-MINDED He must be able to take constructive criticism if it comes his way as that will help him improve and evolve. He might fabricate something different from the vision of the client, which does not make his design bad instead makes him learn what works for him. CREATIVITY He has to have a broader imagination and be creative in his intentions. This is a creative industry and demands variations, authenticity and uniqueness. CURIOSITY Being a keen observer always helps a Graphic Designer to perform better. He should love art and be interested in knowing more about what excites him. He should focus on minute features while working on the bigger picture. FIXER He needs to be logical and critical to fixing things. He has to be a problem solver to meet the expectations of his client. Challenges should not scare him and he should learn to make things work his way. FOCUSED ON ELEMENTS A good Graphic Designer pays undivided attention to the elements of his design such as the space to define importance and separate information, size to create contrast and attract attention, Colour to create interest and generate emotions, shape to make the content eye-catching, Line, Value, Texture, etc. PATIENCE Designing is a slow process and therefore time-consuming as it takes numerous attempts to visually design the idea. He needs to take feedbacks from the clients and work on alternatives.

Create video of the GDP variations for the top 10 countries from 1960-2017

Statistical Analysis and Interactive Dashboard Design using R - Studio and Power BI. On Variations In The Employment Factors Influencing The GDP Per Worker$

ATTRIBUTES OF A SUCCESSFUL GRAPHIC DESIGNER   Have you seen tea-hawkers with digital payment these days? I'm sure you've seen them and maybe even paid digitally. That is the result of a digital era. Every human evolves with time and so have all the businesses due to digitalization and globalization. The very basic goal of every corporation is to earn profits in the future and sustain itself in the market. But now they face challenges to constantly adapt to the technology, to remain in the competitive market. Is it that easy to alter and transform that consistently with the successive trends in the economy? The secret ingredient to this is innovation, strategy, and reasoning. Digital Literacy has become a necessity today. There is hardly any industry that has not been impacted by the technology sector be it Health, Finance, Retail, Education, Media, Professional services and this list goes on and on.     The Business World & its Requirement  IT sector is a beneficiary of technology whose contribution to India's GDP has increased from 1.2% in 1998 to 7.7% in 2017. This sector provides us with software, hardware, internet or related services, and other necessary equipment. A computer engineer is a person who is responsible for the proper functioning of a computer and its applications. He makes sure that both the software and hardware are in order. Why do we need Computer Engineers? Just as technology makes our life easier, Computer Engineers are the right hands for a Graphic Designer who assembles texts, images, and motion pictures into artwork. Every company needs a Graphic Designer to reach and attract its audience, promote its products, strengthen its brand, aid in graphic communication and help them to stand out.  With the increasing competition in the market, every organization wants an upper hand over the other. Digital media with the assistance of Graphic Designers provides individual attention to the needs and taste of customers.  Pune has numerous engineering colleges offering thousands of courses. Having MIT WPU University makes it a more pleasant place for Computer Operators. Hence, Computer Operator jobs in Pune are more preferred and stipulated. Graphic Designers are the future and their demand will nothing but increase in coming years. All large Multi-National Companies such as Google, Amazon, Microsoft, Facebook need Graphic Designers. They can also work at their convenience as freelancers and there are thousands of freelance graphic designer jobs available in Bangalore.    Traits of an accomplished Graphic Designer  Some essential characteristics add Great to a Graphic Designer. Some qualities that help you emerge as the best one are as follows:    COMMUNICATION  A designer has to be a good communicator to negotiate and discuss the information in detail with the client. His exceptional communication skills will assist him to deliver the brand and the client's idea.    PASSION  Graphic designing is a creative industry that demands a lot of detailing, prolonged hours of work, Tricky edits, and a load of work. He can't enjoy his work if he doesn't give in one hundred percent. With the talent, he needs to be passionate about it too. Being driven about his job keeps him going and teaches him time management.    EVOLUTION  Being a designer is a long-term process and he has to constantly grow in this industry. One has to keep embracing new values. Nobody knows it all hence he has to seek new inspiration and keep thriving. With trends and upgraded technology, he has to stay ahead and continue educating himself.    RELIABILITY  Every company or client wants a dependable employee. To ensure a lifelong and delightful relationship with the client, he should be trustworthy and consistent. It's always a plus point to have someone they can count on.    OPEN-MINDED  He must be able to take constructive criticism if it comes his way as that will help him improve and evolve. He might fabricate something different from the vision of the client, which does not make his design bad instead makes him learn what works for him.    CREATIVITY  He has to have a broader imagination and be creative in his intentions. This is a creative industry and demands variations,  authenticity, and uniqueness.    CURIOSITY  Being a keen observer always helps a Graphic Designer to perform better. He should love art and be interested in knowing more about what excites him. He should focus on minute features while working on the bigger picture.    FIXER  He needs to be logical and critical to fixing things. He has to be a  problem solver to meet the expectations of his client. Challenges should not scare him and he should learn to make things work his way.    FOCUSED ON ELEMENTS  A good Graphic Designer pays undivided attention to the elements of his design such as the space to define importance and separate information, size to create contrast and attract attention, Color to create interest and generate emotions, Shape to make the content eye-catching, Line, Value, Texture, etc.    PATIENCE  Designing is a slow process and therefore time-consuming as it takes numerous attempts to visually design the idea. He needs to take feedbacks from the clients and work on alternatives.

Produces a CSV file for openheatmap.com that shows the GDP variation from 2005 to 2010

No description available

No description available

About the World population and GDP. It Include Topic as:

Power BI

In this project, I assumed the role of a data analyst tasked with visualizing life expectancy and GDP data over time to uncover trends and regional differences.

No description available

Simple example of GDP adjustment for calendar and working day variations.

This is an ARIMA model to project the GDP variation for 2022

No description available

No description available

A sample data analysis of US with the variation of GDP(Gross production rate)

This project explores and analyzes the Gross Domestic Product (GDP) data of countries worldwide to uncover trends, insights, and comparisons across regions and time periods. The analysis involves data cleaning, visualization & identify economic disparities, and assess factors influencing GDP variations.

This project analyzes and visualizes the relationship between GDP and life expectancy for six countries using data from the World Health Organization and the World Bank. The goal is to explore how variations in GDP impact life expectancy and to present the findings through various visualizations.

A typical Regression Machine Learning project leverages historical data to predict insights into the future. This problem statement is aimed at predicting Life Expectancy rate of a country given various features. Life expectancy is a statistical measure of the average time a human being is expected to live, Life expectancy depends on various factors: Regional variations, Economic Circumstances, Sex Differences, Mental Illnesses, Physical Illnesses, Education, Year of their birth and other demographic factors. This problem statement provides a way to predict average life expectancy of people living in a country when various factors such as year, GDP, education, alcohol intake of people in the country, expenditure on healthcare system and some specific disease related deaths that happened in the country are given.

Life expectancy is a statistical measure of the average time a human being is expected to live. Life expectancy depends on various factors: Regional variations, Economic Circumstances, Sex Differences, Mental Illnesses, Physical Illnesses, Education, Year of their birth and other demographic factors. The project relies on the accuracy of the data. The Global Health Observatory (GHO) data repository under the World Health Organization (WHO) keeps track of the health status as well as many other related factors for all countries. The datasets are made available to the public for the purpose of health data analysis. The data-set related to life expectancy, health factors for 193 countries have been collected from the same WHO data repository website and its corresponding economic data was collected from the United Nations website. Among all categories of health-related factors, only those critical factors were chosen which are more representative. This problem statement provides a way to predict the average life expectancy of people living in a country when various factors such as year, GDP, education, alcohol intake of people in the country, expenditure on the healthcare system, and some specific disease-related deaths that happened in the country are given. Dataset link: https://www.kaggle.com/kumarajarshi/life-expectancy-who Node Red Dashboard link: https://node-red-gqvir.eu-gb.mybluemix.net/ui/#!/0?socketid=90Zn5pBVueIhYhqrAAAF Node Red Flow link: https://node-red-gqvir.eu-gb.mybluemix.net/red/#flow/a8e9a1cc.fa2a

Money cannot buy happiness. Or can it? The populations of some countries are happier than other countries. In this exercise, you will investigate the relationship between a country's per capita GDP and its "happiness score". Since 2012, the annual World Happiness Report, published by the United Nations' Sustainable Development Solutions Network, asks people around the world how happy they are. The happiness score uses the Cantril scale, which is a subjective scale constructed by asking respondents to imagine a ladder on which the best possible life for themselves receives the score of 10, the worst possible life a score of 0, and then are asked to rate their own lives on that scale between 0 and 10. The questionaire is given to a representative sample of each country each year. We expect more individual wealth to correlate with higher happiness. But, how much of the variation in happiness is explained by individual wealth? That is the question we will explore. There are three main tasks in this notebook. PART A. Implement Gradient Descent to calculate the coefficients of a univariate linear regression PART B. Use a built-in library to check your implementation in A and perform some analysis PART C. Prepare data yourself and apply your model. You will be asked to write some code and also answer several questions about the model and data. The first step is to run the next cell to load the basic libraries we will use in this assignment.

World Happiness Report Problem Statement: Context The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness. What is Dystopia? Dystopia is an imaginary country that has the world’s least-happy people. The purpose in establishing Dystopia is to have a benchmark against which all countries can be favorably compared (no country performs more poorly than Dystopia) in terms of each of the six key variables, thus allowing each sub-bar to be of positive width. The lowest scores observed for the six key variables, therefore, characterize Dystopia. Since life would be very unpleasant in a country with the world’s lowest incomes, lowest life expectancy, lowest generosity, most corruption, least freedom and least social support, it is referred to as “Dystopia,” in contrast to Utopia. What are the residuals? The residuals, or unexplained components, differ for each country, reflecting the extent to which the six variables either over- or under-explain average life evaluations. These residuals have an average value of approximately zero over the whole set of countries. What do the columns succeeding the Happiness Score(like Family, Generosity, etc.) describe? The following columns: GDP per Capita, Family, Life Expectancy, Freedom, Generosity, Trust Government Corruption describe the extent to which these factors contribute in evaluating the happiness in each country. The Dystopia Residual metric actually is the Dystopia Happiness Score(1.85) + the Residual value or the unexplained value for each country. The Dystopia Residual is already provided in the dataset. If you add all these factors up, you get the happiness score so it might be un-reliable to model them to predict Happiness Scores. You need to predict the happiness score considering all the other factors mentioned in the dataset. Note: You can find the dataset in the link below. Downlaod Files: https://github.com/dsrscientist/DSData/blob/master/happiness_score_dataset.csv https://github.com/dsrscientist/DSData

Context The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness. Content The happiness scores and rankings use data from the Gallup World Poll. The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for the years 2013-2016 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others. Inspiration What countries or regions rank the highest in overall happiness and each of the six factors contributing to happiness? How did country ranks or scores change between the 2015 and 2016 as well as the 2016 and 2017 reports? Did any country experience a significant increase or decrease in happiness? What is Dystopia? Dystopia is an imaginary country that has the world’s least-happy people. The purpose in establishing Dystopia is to have a benchmark against which all countries can be favorably compared (no country performs more poorly than Dystopia) in terms of each of the six key variables, thus allowing each sub-bar to be of positive width. The lowest scores observed for the six key variables, therefore, characterize Dystopia. Since life would be very unpleasant in a country with the world’s lowest incomes, lowest life expectancy, lowest generosity, most corruption, least freedom and least social support, it is referred to as “Dystopia,” in contrast to Utopia. What are the residuals? The residuals, or unexplained components, differ for each country, reflecting the extent to which the six variables either over- or under-explain average 2014-2016 life evaluations. These residuals have an average value of approximately zero over the whole set of countries. Figure 2.2 shows the average residual for each country when the equation in Table 2.1 is applied to average 2014- 2016 data for the six variables in that country. We combine these residuals with the estimate for life evaluations in Dystopia so that the combined bar will always have positive values. As can be seen in Figure 2.2, although some life evaluation residuals are quite large, occasionally exceeding one point on the scale from 0 to 10, they are always much smaller than the calculated value in Dystopia, where the average life is rated at 1.85 on the 0 to 10 scale. What do the columns succeeding the Happiness Score(like Family, Generosity, etc.) describe? The following columns: GDP per Capita, Family, Life Expectancy, Freedom, Generosity, Trust Government Corruption describe the extent to which these factors contribute in evaluating the happiness in each country. The Dystopia Residual metric actually is the Dystopia Happiness Score(1.85) + the Residual value or the unexplained value for each country as stated in the previous answer. If you add all these factors up, you get the happiness score so it might be un-reliable to model them to predict Happiness Scores.

The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness. Content The happiness scores and rankings use data from the Gallup World Poll. The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for the years 2013-2016 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others. Inspiration What countries or regions rank the highest in overall happiness and each of the six factors contributing to happiness? How did country ranks or scores change between the 2015 and 2016 as well as the 2016 and 2017 reports? Did any country experience a significant increase or decrease in happiness? What is Dystopia? Dystopia is an imaginary country that has the world’s least-happy people. The purpose in establishing Dystopia is to have a benchmark against which all countries can be favorably compared (no country performs more poorly than Dystopia) in terms of each of the six key variables, thus allowing each sub-bar to be of positive width. The lowest scores observed for the six key variables, therefore, characterize Dystopia. Since life would be very unpleasant in a country with the world’s lowest incomes, lowest life expectancy, lowest generosity, most corruption, least freedom and least social support, it is referred to as “Dystopia,” in contrast to Utopia. What are the residuals? The residuals, or unexplained components, differ for each country, reflecting the extent to which the six variables either over- or under-explain average 2014-2016 life evaluations. These residuals have an average value of approximately zero over the whole set of countries. Figure 2.2 shows the average residual for each country when the equation in Table 2.1 is applied to average 2014- 2016 data for the six variables in that country. We combine these residuals with the estimate for life evaluations in Dystopia so that the combined bar will always have positive values. As can be seen in Figure 2.2, although some life evaluation residuals are quite large, occasionally exceeding one point on the scale from 0 to 10, they are always much smaller than the calculated value in Dystopia, where the average life is rated at 1.85 on the 0 to 10 scale. What do the columns succeeding the Happiness Score(like Family, Generosity, etc.) describe? The following columns: GDP per Capita, Family, Life Expectancy, Freedom, Generosity, Trust Government Corruption describe the extent to which these factors contribute in evaluating the happiness in each country. The Dystopia Residual metric actually is the Dystopia Happiness Score(1.85) + the Residual value or the unexplained value for each country as stated in the previous answer. If you add all these factors up, you get the happiness score so it might be un-reliable to model them to predict Happiness Scores.