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    <title>R on Juanma</title>
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    <description>Recent content in R on Juanma</description>
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    <item>
      <title>Freedom in the world</title>
      <link>/post/freedom_in_the_world/freedom-in-the-world/</link>
      <pubDate>Fri, 06 May 2022 00:00:00 +0000</pubDate>
      
      <guid>/post/freedom_in_the_world/freedom-in-the-world/</guid>
      <description>Freedom in the world
Since 1973, Freedom House has assessed the condition of political rights and civil liberties around the world. It is used on a regular basis by policymakers, journalists, academics, activists, and many others.
Freedom House rates people’s access to political rights and civil liberties in 210 countries and territories through its annual Freedom in the World report.
The below graph provides an analysis of free, partly free, not free countries in the world in 2022.</description>
    </item>
    
    <item>
      <title>Suspension of the rights of membership of the Russian Federation in the Human Rights Council</title>
      <link>/post/un_resolution_russia/un-resolution/</link>
      <pubDate>Thu, 07 Apr 2022 00:00:00 +0000</pubDate>
      
      <guid>/post/un_resolution_russia/un-resolution/</guid>
      <description>UN General Assembly votes to suspend Russia from the Human Rights Council
On April 7th 2022, The United Nations General Assembly adopted a resolution calling for Russia to be suspended from the Human Rights Council.
The resolution received a two-thirds majority of those voting, minus abstentions, in the 193-member Assembly, with 93 nations voting in favor and 24 against. Source</description>
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    <item>
      <title>Corruption Perceptions Index - 2021</title>
      <link>/post/cpi/corruption-perceptions-index/</link>
      <pubDate>Fri, 28 Jan 2022 00:00:00 +0000</pubDate>
      
      <guid>/post/cpi/corruption-perceptions-index/</guid>
      <description>Corruption Perceptions Index
Transparency International yearly publishes the Corruption Perceptions Index (CPI) which ranks 180 countries and territories by their perceived levels of public sector corruption, according to experts and business people.
Definition of Corruption Perceptions Index (CPI)
“The CPI scores and ranks countries/territories based on how corrupt a country’s public sector is perceived to be by experts and business executives. It is a composite index, a combination of 13 surveys and assessments of corruption, collected by a variety of reputable institutions.</description>
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    <item>
      <title>BBC 100 Women 2021, 2020 and 2019</title>
      <link>/post/bbc/bbc-100-women-2021-2020-2019/</link>
      <pubDate>Wed, 08 Dec 2021 00:00:00 +0000</pubDate>
      
      <guid>/post/bbc/bbc-100-women-2021-2020-2019/</guid>
      <description>The BBC has revealed its list of 100 inspiring and influential women from around the world for 2021, 2020 and 2019.

The BBC’s 100 women of 2021
This year 100 Women is highlighting those who are leading change and making a difference during these turbulent times.
Here is the BBC article with all the information for 2021.
As the BBC mentions on the article, in an extraordinary year in 2021, women from Afghanistan make up half of this year’s list, some of whom appear under pseudonyms and without photos for their own safety.</description>
    </item>
    
    <item>
      <title>Top ten busiest stations in Great Britain</title>
      <link>/post/uk_rail_transport/</link>
      <pubDate>Sat, 27 Nov 2021 00:00:00 +0000</pubDate>
      
      <guid>/post/uk_rail_transport/</guid>
      <description>London’s Stratford railway station recorded the most passenger entries and exits (13,985,162) from April 2020 to March 2021 followed by London Victoria and London Bridge.
Stratford railway station was UK’s busiest station according to The Office of Rail and Road.

Top 10 busiest UK stations


Top 10 busiest UK stations comparison with previous year
Britain’s passenger usage dropped 77.13% compared with the previous year.</description>
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    <item>
      <title>D3 Chord Diagram</title>
      <link>/project/chrodiagram/chrodiagram/</link>
      <pubDate>Sat, 26 Jun 2021 00:00:00 +0000</pubDate>
      
      <guid>/project/chrodiagram/chrodiagram/</guid>
      <description>D3 Chord Diagram to analyse number of trips in 2020 among the top five busiest stations in Bluebikes Boston Metro (Boston’s public bike share program).
Ames St at Main StCentral Square at Mass Ave / Essex StCharles Circle - Charles St at Cambridge StChristian Science Plaza - Massachusetts Ave at Westland AveMIT at Mass Ave / Amherst Stt</description>
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    <item>
      <title>Bluebikes Boston  Metro -  Boston&#39;s public bike share program in 2020</title>
      <link>/post/boston_bike_scheme/bike_sharing/</link>
      <pubDate>Sat, 19 Jun 2021 00:00:00 +0000</pubDate>
      
      <guid>/post/boston_bike_scheme/bike_sharing/</guid>
      <description>Analysis of the Metro Boston’s public bike share program in 2020.
All my code, for all my visualizations, can be found in this link.
The data source comes from the official page.
Each image will expand after clicking on it.

Monthly trip numbers in 2020
Code is available here.




Day and hour of the week analysis in 2020
Code is available here.</description>
    </item>
    
    <item>
      <title>Bluebikes Boston bike share scheme</title>
      <link>/project/bostons-public-bike-share-program-in-2020/</link>
      <pubDate>Sat, 19 Jun 2021 00:00:00 +0100</pubDate>
      
      <guid>/project/bostons-public-bike-share-program-in-2020/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Bicycle share schemes</title>
      <link>/project/bicycle-share-schemes/</link>
      <pubDate>Sat, 10 Apr 2021 00:00:00 +0100</pubDate>
      
      <guid>/project/bicycle-share-schemes/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Global Annual Tree Cover Loss by Dominant Driver</title>
      <link>/post/tree-loss/global-annual-tree-cover-loss-driving-force-2001-2020/</link>
      <pubDate>Mon, 05 Apr 2021 00:00:00 +0000</pubDate>
      
      <guid>/post/tree-loss/global-annual-tree-cover-loss-driving-force-2001-2020/</guid>
      <description>The following article provides an analysis of global annual tree cover loss by dominant Driver from 2001 to 2020.
The data is from the Global Forest Watch.

Global Annual Tree Cover Loss by Dominant Driver Hectares
In 2010, the world had 3.92Gha of tree cover, extending over 30% of its land area. In 2020, it lost 25.8Mha of tree cover. These estimates do not take tree cover gain into account.</description>
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    <item>
      <title>Business and Consumer confidence - USA  - 1989 - 2021</title>
      <link>/post/us-confidence/business-and-consumer-confidence-us-1989-2021/</link>
      <pubDate>Fri, 02 Apr 2021 00:00:00 +0000</pubDate>
      
      <guid>/post/us-confidence/business-and-consumer-confidence-us-1989-2021/</guid>
      <description>The following article provides an analysis of Consumer (CCI) and Business (BCI) confidence index in the US since January 1989.
The data is from the Organisation for Economic Co-operation and Development OECD.


Consumer confidence index (CCI)
The below graph 1 shows how the Consumer confidence Index has evolved since January 1989.Code is available here.
Indicator definition
This consumer confidence indicator provides an indication of future developments of households’ consumption and saving, based upon answers regarding their expected financial situation, their sentiment about the general economic situation, unemployment and capability of savings.</description>
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    <item>
      <title>US Business and Consumer confidence</title>
      <link>/project/us-business-and-consumer-confidence/</link>
      <pubDate>Thu, 01 Apr 2021 00:00:00 +0100</pubDate>
      
      <guid>/project/us-business-and-consumer-confidence/</guid>
      <description></description>
    </item>
    
    <item>
      <title>US Economy analysis</title>
      <link>/project/us-economy/</link>
      <pubDate>Thu, 01 Apr 2021 00:00:00 +0100</pubDate>
      
      <guid>/project/us-economy/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Finland - Happiest country in the world in 2020</title>
      <link>/post/happiness/finland-happiest-country-in-the-world-in-2020/</link>
      <pubDate>Sat, 20 Mar 2021 00:00:00 +0000</pubDate>
      
      <guid>/post/happiness/finland-happiest-country-in-the-world-in-2020/</guid>
      <description>According to the World Happiness Report, in 2020, Finland was the happiest country in the World for the third consecutive year.
Denmark, Switzerland, Iceland and The Netherlands finished in the top five.
Norway, Sweden, Luxembourg, New Zealand and Austria completed the top ten.

World Happiness Report - 2021
The World Happiness Report ranks 156 countries by how happy their citizens perceive themselves to be, based on six different factors - GDP per capita, social support, healthly life expectancy, freedom to make life choices, generosity and perception of corruption - .</description>
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    <item>
      <title>US elections 2020</title>
      <link>/post/us-elections/us-elections-2020/</link>
      <pubDate>Fri, 22 Jan 2021 00:00:00 +0000</pubDate>
      
      <guid>/post/us-elections/us-elections-2020/</guid>
      <description>Analysis of the US presidential and senate elections of 2020
The data is from MIT Election Data + Science Lab.

US presidential in 2020
Note: Click on the picture to expand×// Get the modalvar modal = document.getElementById(&#34;myModal&#34;);// Get the image and insert it inside the modal - use its &#34;alt&#34; text as a captionvar img = document.getElementById(&#34;myImg&#34;);var modalImg = document.</description>
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    <item>
      <title>Wordcloud</title>
      <link>/project/wordcloud/</link>
      <pubDate>Sun, 20 Dec 2020 00:00:00 +0100</pubDate>
      
      <guid>/project/wordcloud/</guid>
      <description></description>
    </item>
    
    <item>
      <title>My TidyTuesday graphs</title>
      <link>/post/tidytuesday/tidytuesday/</link>
      <pubDate>Mon, 12 Oct 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/tidytuesday/tidytuesday/</guid>
      <description>TidyTuesday is a weekly data project in R from the R4DS Online Learning Community.
All my code, for all my visualizations, can be found in this link.
Each image will expand after clicking on it.

Week 20/2021 - US Broadband
Code is available here.



Week 15/2021 - Soybean production and use - World
Code is available here.</description>
    </item>
    
    <item>
      <title>Climate at a Glance - Global Temperature Anomalies</title>
      <link>/post/climate-at-a-glance/climate-at-a-glance-global-temperature-anomalies/</link>
      <pubDate>Thu, 03 Sep 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/climate-at-a-glance/climate-at-a-glance-global-temperature-anomalies/</guid>
      <description>Global Land and Ocean Temperature Anomaly data - Time Series
The National Oceanic and Atmospheric Administration has published the time series of temperature anomalies.
Average temperature data shows a rise in global average temperature over the past several decades.
Data source
For more information
Please find the analysis using both plotly and ggplot as a project.</description>
    </item>
    
    <item>
      <title>International tourism analysis - 1995 to 2018</title>
      <link>/post/international-tourism/international-tourism-analysis-2018/</link>
      <pubDate>Sun, 28 Jun 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/international-tourism/international-tourism-analysis-2018/</guid>
      <description>The following article provides an analysis of International tourism data from 1995 to 2018.
The data is from the World Bank


International tourism - 2018 - Arrivals and Departures.
The below graph shows the top 10 countries by number of arrivals and departures in 2018.Tourism outbound - International tourism, number of departures
International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited.</description>
    </item>
    
    <item>
      <title>U.S. trade in goods with China - 1985 to 2019</title>
      <link>/post/us-china-trade/u-s-trade-in-goods-with-china-1985-to-2019/</link>
      <pubDate>Wed, 10 Jun 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/us-china-trade/u-s-trade-in-goods-with-china-1985-to-2019/</guid>
      <description>On January 15th 2020, The US and China signed the US–China Phase One economic and trade deal at the White House.
The signed agreement published officially contains eight chapters on intellectual property, technology transfer, trade in food and agricultural products, financial services, macroeconomic policies and exchange rate, transparency, expanding trade, bilateral evaluation and dispute resolution.
The following article analyses how US and China trade in goods has evolved from 1985 to 2019.</description>
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    <item>
      <title>Life Expectancy - GNI per capita ($) - 1990 - 2018</title>
      <link>/post/life-expectancy-gni-per-capita/life-expectancy-gni-per-capita-1990-2018/</link>
      <pubDate>Sat, 18 Apr 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/life-expectancy-gni-per-capita/life-expectancy-gni-per-capita-1990-2018/</guid>
      <description>Life Expectancy - GNI per capita analysis
The below graph shows yearly analysis of GNI per capita by country from 1990 to 2018.
The data is from World Bank.

The indicator GNI per capita, PPP (current international $) is defined as follows:

PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.</description>
    </item>
    
    <item>
      <title>Life Expectancy - Human Development Index (HDI) - 1990 - 2018</title>
      <link>/post/life-expectancy-hdi/life-expectancy-human-development-index-1990-2018/</link>
      <pubDate>Sat, 18 Apr 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/life-expectancy-hdi/life-expectancy-human-development-index-1990-2018/</guid>
      <description>Life Expectancy - Human Development Index (HDI) analysis
This document provides an analysis of Life Expectancy and Human Development Index (HDI) data by country.
Data sources used:
World bank for Life expectancy
HDI information for HDI data and definition.

The indicator The Human Development Index (HDI) is defined as follows:

The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living.</description>
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    <item>
      <title>Total number of Nurses and Doctors per 1,000 inhabitants - 2016</title>
      <link>/post/nurses-doctors/total-number-of-nurses-and-doctors-per-1-000-inhabitants-2016/</link>
      <pubDate>Fri, 17 Apr 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/nurses-doctors/total-number-of-nurses-and-doctors-per-1-000-inhabitants-2016/</guid>
      <description>Total number of Nurses and Doctors per 1,000 inhabitants - 2016
The Organisation for Economic Co-operation and Development has published the time series of number of nurses and doctors per 1,000 inhabitants.
In 2016, Norway had the highest number of nurses per 1,000 inhabitants with 17,49. Austria had the highest number of doctors per 1,000 inhabitants with 5,13.
The indicator Nurses is defined by The Organisation for Economic Co-operation and Development as follows:</description>
    </item>
    
    <item>
      <title>Starting a business -  Country Score</title>
      <link>/post/starting-a-business/starting-a-business-country-score/</link>
      <pubDate>Thu, 16 Apr 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/starting-a-business/starting-a-business-country-score/</guid>
      <description>The Doing Business Report is an annual report published by The World Bank which provides objective measures of business regulations for local firms in 190 economies.
New Zealand ranks number one in “starting a business” with a total of 99.98 in 2020. New Zealand made a few reforms which have helped with their score:
DB2019: New Zealand made starting a business less expensive by reducing the fees for name search and company incorporation.</description>
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    <item>
      <title>Hospital beds per 1000 inhabitants - 2017</title>
      <link>/post/hospital-beds/hospital-beds-per-1000-inhabitants-2017/</link>
      <pubDate>Sat, 11 Apr 2020 00:00:00 +0000</pubDate>
      
      <guid>/post/hospital-beds/hospital-beds-per-1000-inhabitants-2017/</guid>
      <description>Hospital beds per 1000 inhabitants - 2017
The Organisation for Economic Co-operation and Development has published the time series of number of beds per 1000 inhabitants.
In 2017, Japan had the highest number of hospital beds per 1000 inhabitants with 13.07 followed by South Korea with 12.27 beds.

The indicator Hospital beds is defined by The Organisation for Economic Co-operation and Development as follows:
“This indicator provides a measure of the resources available for delivering services to inpatients in hospitals in terms of number of beds that are maintained, staffed and immediately available for use.</description>
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    <item>
      <title>GDP Growth per country and region</title>
      <link>/post/gdp-growth/gdp-growth-per-country-and-region/</link>
      <pubDate>Sun, 03 Nov 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/gdp-growth/gdp-growth-per-country-and-region/</guid>
      <description>GDP Growth - Country and Region Analysis
New Tableau dashboard which analyzes the GDP growth (annual %) by country from 1961 to 2018.The data is from World Bank.
Definition of GDP growth (annual %)
“Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products.</description>
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    <item>
      <title>91.3% of the world population exposed to unhealthy levels of pollution in 2017</title>
      <link>/post/air-pollution/91-3-percent-of-the-world-population-exposed-to-unhealthy-levels-of-pollution-in-2017/</link>
      <pubDate>Sat, 02 Nov 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/air-pollution/91-3-percent-of-the-world-population-exposed-to-unhealthy-levels-of-pollution-in-2017/</guid>
      <description>According to World Bank, in 2017,  91.3%  of the population was exposed to unhealthy levels of pollution (ambient concentrations of PM2.5 that exceed the WHO guideline value) in the World.
The below graph shows the percentage of the population exposed to unhealthy levels of pollution by region in 2017.
The data is from World Bank.

Definition of PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)</description>
    </item>
    
    <item>
      <title>59.1 Million children out of school (primary) in the world in 2018</title>
      <link>/post/education/59-1-million-children-out-of-school-primary-in-the-world-in-2018/</link>
      <pubDate>Sun, 27 Oct 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/education/59-1-million-children-out-of-school-primary-in-the-world-in-2018/</guid>
      <description>According to World Bank, in 2018,  59.1 million children were out of school (primary) in the World.
The indicator Children out of school, primary is defined by UNESCO Institute for Statistics as the the number of primary-school-age children not enrolled in primary or secondary school.
This article presents three different analyses:
Children out of school (primary) - World Analysis - Yearly trendsChildren out of school (primary) - World Analysis - Yearly trends by GenderChildren out of school (primary) - Region Analysis - Yearly trendsIt’s time for action.</description>
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    <item>
      <title>Flexdashboard analysis</title>
      <link>/project/flexdashboard/</link>
      <pubDate>Sun, 20 Oct 2019 00:00:00 +0100</pubDate>
      
      <guid>/project/flexdashboard/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Plotly analysis</title>
      <link>/project/plotly/</link>
      <pubDate>Sun, 20 Oct 2019 00:00:00 +0100</pubDate>
      
      <guid>/project/plotly/</guid>
      <description></description>
    </item>
    
    <item>
      <title>TidyTuesday analyses</title>
      <link>/project/tidytuesday-analyses/</link>
      <pubDate>Sun, 20 Oct 2019 00:00:00 +0100</pubDate>
      
      <guid>/project/tidytuesday-analyses/</guid>
      <description></description>
    </item>
    
    <item>
      <title>World Trade Analysis</title>
      <link>/post/world-trade/regional-trade-analysis/</link>
      <pubDate>Fri, 11 Oct 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/world-trade/regional-trade-analysis/</guid>
      <description>In 2017, the amount of exports of goods and services (current US$) worldwide reached 22.97 trillion US dollars.
The below article presents an analysis of how exports have increased since 1960.
The data is from World Bank.

Definition of Exports of goods and services (current US$) according to World Bank 
“Exports of goods and services represent the value of all goods and other market services provided to the rest of the world.</description>
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    <item>
      <title>Visualization package - Sunburst</title>
      <link>/post/r-learning-sunburst/r-markdown-2-sunburst/</link>
      <pubDate>Wed, 04 Sep 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/r-learning-sunburst/r-markdown-2-sunburst/</guid>
      <description>Sunburst diagram in R
One of the best visualization graphs to display hierarchical data.
A sunburst diagram is a great visualization when we would like to show hierarchy volume data.

Data
In this example, I have used Sunburst to visualize the number of transitors by year, designer, process and area.
The database used is from TidyTuesday data project. For more information, please visit this link.</description>
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    <item>
      <title>Environment - CO2 emissions (kt)  by decade</title>
      <link>/post/environment-co2-emissions-kt-by-decade/environment-co2-emissions-kt-by-decade/</link>
      <pubDate>Fri, 10 May 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/environment-co2-emissions-kt-by-decade/environment-co2-emissions-kt-by-decade/</guid>
      <description>The following graph analyzes the Carbon dioxide emissions trend by decade. Emissions continue to increase decade by decade significantly since the study started according to World Bank data

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    </item>
    
    <item>
      <title>NBA Analytics - 2016-2019</title>
      <link>/post/nba/sport-nba-analytics/</link>
      <pubDate>Fri, 10 May 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/nba/sport-nba-analytics/</guid>
      <description>NBA Regular season analysis - Eastern conferenceNBA Eastern conference stats for the last three seasons. Regular seasons stats (Wins, Losses , Percentage of Wins).

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    </item>
    
    <item>
      <title>Greatest Speeches in History</title>
      <link>/post/speeches/greatest-speeches-in-history/</link>
      <pubDate>Sun, 14 Apr 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/speeches/greatest-speeches-in-history/</guid>
      <description>In this blog post, we will be able to see a text analysis of the biggest speeches in history made by world leaders such as Martin Luther King, Jr., Nelson Mandela, Barack Obama and Eleanor Roosevelt.

“I have a dream” - Martin Luther King, Jr.
Delivered by Martin Luther King, Jr. on 28 August 1963, at the Lincoln Memorial, Washington D.C.
In his most famous speech, Martin Luther King, Jr stood on the steps of the Lincoln Memorial to deliver the speech before a crowd of more than 250,000 people.</description>
    </item>
    
    <item>
      <title>Learning Week - rbokeh</title>
      <link>/post/r-learning-rbokeh/learning-week-rbokeh/</link>
      <pubDate>Sun, 10 Mar 2019 00:00:00 +0000</pubDate>
      
      <guid>/post/r-learning-rbokeh/learning-week-rbokeh/</guid>
      <description>Bokeh is a visualization package used for building interactive plots available in R.Please visit this great tutorial for more information.The below examples provide an analysis of Life Expectancy, HDI and Population by country in 2015.
Two bokeh plots together. We can hover over one point in one of the graphs. That country will also be highlighted in the other graph.</description>
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    <item>
      <title>ggplot2 analysis</title>
      <link>/project/ggplot/</link>
      <pubDate>Sun, 27 Jan 2019 00:00:00 +0100</pubDate>
      
      <guid>/project/ggplot/</guid>
      <description></description>
    </item>
    
    <item>
      <title>US Elections analysis</title>
      <link>/project/us-elections-2020/</link>
      <pubDate>Fri, 27 Apr 2018 00:00:00 +0100</pubDate>
      
      <guid>/project/us-elections-2020/</guid>
      <description></description>
    </item>
    
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