Village of 100 South Korean

wonderful village~!

St. Lucia

Passion Pit - Constant Conversations (St. Lucia Remix) by St. Lucia

Introduction: Start of Investiagtion

The village is consisted of 100 people from South Korea. It is a peaceful place and the government checks the village every year to gather data. These are the questions that they ask.

Basic Questions

  1. How are people distributed geographically over time?
  2. How many people can read letters and how did it change over time?
  3. How many people are there in each age group and how did it change over time?
  4. How many people are dependent on family and how did it change over time?
  5. Where do sources of energy come from and how did they change over time?
  6. How many people are believe in certain religions and how did it change over time?
  7. How many babies are born in a day and how did it change over time?
  8. How many people die in a day and how did it change over time?
  9. how did the gender ratio change over time?
  10. How many people are unemployed and how did it change over time?

Inquiry Questions

  1. Is there any positive correlation between the data set? and why? (2 graphs)
  2. Is there any negative correlation between the data set? and why? (1 graph)
  3. What will the future be like? (make 3 predictions of chosen data set)

Presentation of Data: Table

The government recorded changes in their table and they used percentages to show it.

Presentation of Data: Graph

They found the data displayed in the table inconvenient, so they wanted to represent the data in a graph and have a clearer understanding of the village and they also wanted to make predictions for a few categories.

Creative way of presenting data: Square box

I have used a 10x10 square box to create a diagram for some of my data. Using multiple colors and drawings made the diagram more attractive and also it had a clearer distribution of data than a graph.

Age Structure: Present

Energy Source: Present

Unemployment: Present

Reflections of findings: Predictions & Trends


After finding a relationship between the 2 different data sets I also found an equation that can predict future data sets based on how much they increased from past to present. In total, I have 6 equations that can be used to predict past or future results in the same category. However, there is a limit to this equation since, as I have mentioned several times, the village should be consisted of 100 people. If we continue the equation, it could theoretically go on forever, which obviously exceeds 100. It works the same for the opposite way, so if the the x value goes down, eventually it will hit the limit and produce negative numbers, which is not possible when we are counting the number of people. To solve this problem, we can simply add > and < to the y value. This will help to show only the range of answers that we can possibly find, thus limiting the equation. Now I will actually predict outcomes using the equation given. I will try to predict the data of 2015 since its not that far in the future.


As I showed in the 3 graphs below, I found 2 positive relationships and 1 negative relationship that can be explained. Urbanization was usually key to the change in other categories because urbanization made many people gather in one place, which can create many different situations and problems. I will explain each problem and state the relationship between them.

1. Urbanization and Unemployment

Urbanization: y = 1.431x - 2795.3

Unemployment: y = 0.0922x - 176.62

If x = 2015...

Urbanization = 88.165

Unemployment = 9.163

Result - Both of the categories increased and did not exceed 100

2. Urbanization and Literacy rate

Urbanization: y = 1.431x - 2795.3

Literacy rate: y = 1.0728x - 2060.8

If x = 2015...

Urbanization = 88.165

Literacy rate = 100.892

Result - Urbanization and Literacy rate both increased, however literacy rate exceeded 100 which is not possibly in a village of 100 people so it will be fixed into 100 because 100 is maximum number of people.

3. 0 to 14 age group and birth rate

0 to 14 age group: y= -0.167x +348.83

Birth rate: y = -0.75x + 1509.1

If x = 2015...

0 to 14 age group: 12.325

Birth rate: -2.15

Result - Age group consisted with 0 to 14 years olds and birth rate decreased, however birth rate became negative number which I mention before, impossible. In this case, we will have to write 0 since minimum number of people is 0 in a village of 100 people.