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UNDP Accelerator Labs Network Exploration and Visualization¶

Question : Where are the solutions coming from? What is their distribution per country?¶

Question : Where are the solutions coming from? What is their distribution per country?¶

  • India has the highest number of solutions
  • Panama is the second best solutions provider
  • Argentina is the third best solutions provider
  • Pacific is the fourth best solutions provider
  • Ecuador is the fifth best solutions provider

Question : Where are the solutions coming from? What is their distribution per region?¶

Question : Where are the solutions coming from? What is their distribution per region?¶

  • rb_africa has the highest number of solutions
  • rb_latin_america is the second best solutions provider
  • rb_asia_pacific is the third best solutions provider

Question : What are global commonalities across solutions; what are typical applications & use cases for solutions? Are there patterns that emerge when looking at the distribution per country & per region?¶

Question : What are global commonalities across solutions; what are typical applications & use cases for solutions? Are there patterns that emerge when looking at the distribution per country & per region?¶

  • The most produced energy_source is Household application and this solution is more prevalent in the regional bureau rb_asia_pacific, then rb_africa and rb_latin_america. It can be relative to the proverty level, which is high in these locations.

  • The second most produced energy_source is Solar and more prevalent in the regional bureau rb_latin_america then rb_asia_pacific, rb_africa and rb_arab_states. It can be relative to the poor developpement of other energy sources in the locations of the first three, and the desert with his high level of solar reception in the locations of the rb_arab_states.

  • The third most produced energy_source is Thermal and more prevalent in the regional bureau rb_africa, rb_latin_america and rb_asia_pacific.

  • Overall energy sources, the more prevalent locations are rb_africa, rb_latin_america and rb_asia_pacific, certainly because of the development level which is low in these locations. That said, we understand why there are not so many solutions in rb_europe_cis and rb_arab_states.

Question : What overall challenges are the solutions addressing or contributing to overcome?¶

Question : What overall challenges are the solutions addressing or contributing to overcome?¶

  • The most represented thematic is Energy (either clean energy, solar energy, renewable energy, alternative energy, affordable energy, sustainable energy)

  • The second most represented thematic is environment friendly

  • The third is climate change

Question : Which Sustainable Development Goals are the solutions advancing in particular, and how?¶

Question : Which Sustainable Development Goals are the solutions advancing in particular, and how?¶

  • The most represented SDG is Affordable and Clean Energy

  • The second is Sustainable Cities and Communities

  • The third is Industry, Innovation and Infrastructure

Question : Looking at the use case of clean cooking solutions, what is their prevalence, distribution, and source of energy?¶

Question : Looking at the use case of clean cooking solutions, what is their prevalence, distribution, and source of energy?¶

  • More clean_cooking solutions are produced in rb_asia_pacific, rb_africa and rb_latin_america

Question : Distribution of sol_replication_training sources per regional_bureau¶

Question : Distribution of sol_replication_training sources per regional_bureau¶

  • Many solutions are replicable elsewhere, and most of solutions are coming from rb_africa and rb_latin_america.

Question : Distribution of product_availability solutions per regional_bureau¶

Question : Distribution of product_availability solutions per regional_bureau¶

  • Many solutions are products already available and waiting for scaling in the rb_africa, rb_asia_pacific and rb_latin_america.

Question : Distribution of product_advance_order solutions per regional_bureau¶

Question : Distribution of product_advance_order solutions per regional_bureau¶

  • Many solutions have been already ordered, most from rb_africa.

Question : Distribution and repartition of each sol_protection (Intellectual_property or open_source)¶

Question : Distribution and repartition of each sol_protection (Intellectual_property or open_source)¶

  • Most of the solutions are open_source representing about 71.4% overall.

Question : Distribution of sol_protection (Intellectual_property or open_source) per regional_bureau¶

Question : Distribution of sol_protection (Intellectual_property or open_source) per regional_bureau¶

  • Most open_source solutions are from rb_africa and rb_latin_america.

Question : Distribution of sol_protection (Intellectual_property or open_source) per country¶

Question : Distribution of sol_protection (Intellectual_property or open_source) per country¶

  • Many coutries have more open_source solutions than intellectual_property solutions, such as Argentina, Guinea, Cameroon, Ethiopia and Syria.

Question : Distribution and repartition of each sol_type (prototype or product)¶

Question : Distribution and repartition of each sol_type (prototype or product)¶

  • Most of the solutions are product (ready to scale) representing about 64.2% overall.

Question : Distribution of sol_type (prototype or product) per regional_bureau¶

Question : Distribution of sol_type (prototype or product) per regional_bureau¶

  • Most product solutions are from rb_africa, rb_asia_pacific and rb_latin_america.

Question : Distribution of sol_type (prototype or product) per country¶

Question : Distribution of sol_type (prototype or product) per country¶

  • Many coutries have more product solutions (ready to scale) than prototype solutions, such as India, Cameroon, Pacific, Panama, Ecuador, Burkina Faso and Ethiopia.

Question : Distribution of sol_type (prototype or product) per trl_level¶

Question : Distribution of sol_type (prototype or product) per trl_level¶

  • Many product solutions have a TRL of 9 : Actual system proven in operational. They are ready to be scaled

  • Many prototype solutions have a TRL of 7 : System prototype demonstration in operational environment.

Question : Distribution of sol_type (prototype or product) per sol_protection (Intellectual_property or open_source) per regional_bureau¶

Question : Distribution of sol_type (prototype or product) per sol_protection (Intellectual_property or open_source) per regional_bureau¶

  • rb_latin_america has more prototype open_source solutions than product open_source solutions.

  • rb_asia_pacific has more prototype open_source solutions than product open_source solutions.

  • rb_africa has more product open_source solutions than prototype open_source solutions.

Question : Distribution of sol_type (prototype or product) per sol_protection (Intellectual_property or open_source) per country¶

Question : Distribution of sol_type (prototype or product) per sol_protection (Intellectual_property or open_source) per country¶

  • Countries with more prototype open_source solutions than product open_source solutions: Argentina, Eswatini.

  • Countries with more product open_source solutions than prototype open_source solutions: Cameroon, Ecuador, Ethiopia, Burkina Faso, Pacific and Syria.

Question : Distribution of sol_cost_usd in Dollar US¶

<class 'pandas.core.series.Series'>
RangeIndex: 359 entries, 0 to 358
Series name: sol_cost_usd
Non-Null Count  Dtype  
--------------  -----  
59 non-null     float64
dtypes: float64(1)
memory usage: 2.9 KB

There are 59 solutions with exact production cost. Let's show it.

Question : Distribution of sol_cost_usd in Dollar US¶

Among the 359 solutions, there are 59 solutions with exact production cost.

The bin range is $300.

It means that about 28 solutions need at most $300 for implementation or scalin

Conclusions¶

Conclusions 1/5¶

  • India has the highest number of solutions
  • Panama is the second best solutions provider
  • Argentina is the third best solutions provider
  • Pacific is the fourth best solutions provider
  • Ecuador is the fifth best solutions provider
  • rb_africa has the highest number of solutions
  • rb_latin_america is the second best solutions provider
  • rb_asia_pacific is the third best solutions provider
  • The most produced energy_source is Household application and this solution is more prevalent in the regional bureau rb_asia_pacific, then rb_africa and rb_latin_america. It can be relative to the proverty level, which is high in these locations.

Conclusions 2/5¶

  • The second most produced energy_source is Solar and more prevalent in the regional bureau rb_latin_america then rb_asia_pacific, rb_africa and rb_arab_states. It can be relative to the poor developpement of other energy sources in the locations of the first three, and the desert with his high level of solar reception in the locations of the rb_arab_states.
  • The third most produced energy_source is Thermal and more prevalent in the regional bureau rb_africa, rb_latin_america and rb_asia_pacific.
  • Overall energy sources, the more prevalent locations are rb_africa, rb_latin_america and rb_asia_pacific, certainly because of the development level which is low in these locations. That said, we understand why there are not so many solutions in rb_europe_cis and rb_arab_states.

Conclusions 3/5¶

  • The most represented thematic is Energy (either clean energy, solar energy, renewable energy, alternative energy, affordable energy, sustainable energy)
  • The second most represented thematic is environment friendly
  • The third is climate change
  • The most represented SDG is Affordable and Clean Energy
  • The second is Sustainable Cities and Communities
  • The third is Industry, Innovation and Infrastructure
  • More clean_cooking solutions are produced in rb_asia_pacific, rb_africa and rb_latin_america
  • Many solutions are replicable elsewhere, and most of solutions are coming from rb_africa and rb_latin_america.
  • Many solutions have been already ordered, most from rb_africa.

Conclusions 4/5¶

  • Most of the solutions are open_source representing about 71.4% overall.
  • Most open_source solutions are from rb_africa and rb_latin_america.
  • Most of the solutions are product (ready to scale) representing about 64.2% overall.
  • Most product solutions are from rb_africa, rb_asia_pacific and rb_latin_america.
  • Many coutries have more open_source solutions than intellectual_property solutions, such as Argentina, Guinea, Cameroon, Ethiopia and Syria.
  • Many coutries have more product solutions (ready to scale) than prototype solutions, such as India, Cameroon, Pacific, Panama, Ecuador, Burkina Faso and Ethiopia.
  • Many product solutions have a TRL of 9 : Actual system proven in operational. They are ready to be scaled.
  • Many prototype solutions have a TRL of 7 : System prototype demonstration in operational environment.

Conclusions 5/5¶

  • rb_latin_america has more prototype open_source solutions than product open_source solutions.
  • rb_asia_pacific has more prototype open_source solutions than product open_source solutions.
  • rb_africa has more product open_source solutions than prototype open_source solutions.
  • Countries with more prototype open_source solutions than product open_source solutions: Argentina, Eswatini.
  • Countries with more product open_source solutions than prototype open_source solutions: Cameroon, Ecuador, Ethiopia, Burkina Faso, Pacific and Syria.

Among the 359 solutions, there are 59 solutions with exact production cost.

The bin range is $300.

It means that about 28 solutions need at most $300 for implementation or scaling

Feedback¶

Thank you for paying attention to our team work. Please we need your review to improve ourselves.

  • What do you notice about each visualization?
  • What questions do you have about the data?
  • What relationships do you notice?
  • What do you think is the main takeaway from the report / presentation?
  • Is there anything that you don’t understand from the plots?

Kindly reach us:

  • Jozias Tema
    • LinkedIn : jozias-tema
    • GitHub : jozias-tema
    • Gmail : jozias-tema or temajozias@gmail.com
  • Yvvon Jemmy
    • GitHub : YvvonJemmy
    • Gmail : YvvonJemmy yvvonjemymahmajala@gmail.com
  • Angie Bil
    • GitHub : AngieBil
    • Gmail : AngieBil kbilhah@gmail.com