Research Enthusiast

[toeney]

Relationship between Internet User Rate, Electrical Energy Consumption and Suicide Rate

Description of my Output

I generated a sub data set that included nations with suicide rates between 2 and 20 individuals per 100,000, because these suicide rates were more common than higher rates, and then I calculated the frequency of the variables, which included the counts and percentages of each of the variables' constituents.

In addition, I built the code to explain each of the variables, including their mean values, standard deviations, minimum and maximum values, and percentile distributions for the 25th, 50th, and 75th percentiles. These descriptions provided me with an overview of the data distributions. To illustrate additional correlation between the variables, I established groups of 10 for the Internet User Rate (internetuserate) and Suicide Rate per 100,000 People (suicideper100th) variables, as well as a group of 8 for the Residential Electricity Consumption Rate per person (relectricperperson). Following that, I created the code to display a univariate graphical representation of each variable. This revealed the following:

1. Although Internetuserate has a modal class of 10, the data distribution in the variable is uniform on average.

2. Suicideper100th contains two modal classes, each with a count of 16 persons: 20 and 60 in every 100 000 people. The chart's spread was also devoid of any discernible pattern.

3. Relectricperperson revealed a nearly uniform distribution, but three major classes: 500kWh, 2000 kWh, and 4000 kWh per person per year.

I did a bivariate analysis between my variables of choice after the univariate data visualization to highlight the relationship between them. The sparsely scattered points on the graph, as well as the line of a very minor and practically imperceptible slope that is almost straight, indicated that, while the internetuserate may be changing, it had no major effect on the suicide rate. On the other hand, the densely packed points and the positively sloped line that showed the relationship between the electric consumption per person and the internet user rate, on the other hand, revealed a very close relationship in the bivariate graph between the electric consumption per person and the internet user rate. This meant that as energy consumption per person increased, so did the percentage of residents in the study countries who used the internet.

Conclusion

Based on the preceding facts, it can be concluded that there is no correlation between the number of citizens who use the internet and a country's suicide rate. This could also imply that there are a variety of other factors at play when it comes to suicide rates in different countries. Also extracted from the data is the conclusion that, while an individual's electricity consumption rate impacts their internet usage rate, it has no effect on their suicide rate.

Recommendation

I urge that other potential reasons of suicide, such as income per person (Incomeperperson), be explored to determine if there are any strategies to lower suicide rates based on the observations and conclusions taken from the data.

Please, find attached, the pictures that show the codes, outputs and the graphs generated from my analysis

[toeney]

Data Management Decisions on the Relationship between Internet User Rate, Electrical Energy Consumption and Suicide Rate

With all of the data management options available to me and the Gapminder Dataset's nature in mind, I was able to make two data management decisions: establishing a secondary variable and separating the variables into four groups based on quartiles. The fact that there is no correlation between internetuserate and suicideper100th is clear from the count in each quartile. This aforementioned conclusion is based on the fact that countries in the second quartile had the lowest internet user rate but the highest suicide rate per 100,000 people. This could also mean that there are additional reasons for the high suicide rate in nations with suicide rates ranging from 26 to 50. In addition, when compared to other variables, the relectricperperson indicated very little variation.

[toeney]

Relationship between Internet User Rate, Electrical Energy Consumption and Suicide Rate

(Univariate Analysis)

Following the univariate analysis of my chosen variables, internetuserate, relectricperperson, and suicideper100th, I made the following observations:

1.      Nations having internet user rates of 4.0, 45.0, 13.0, 81.0, and 10.0 per 100 people had higher counts of 5, 5, 7, 2, and 6 respectively, whilst other countries' internet user rates were one per 100 people. The percentages of internet users noted above were 2.60 percent, 2.60 percent, 3.65 percent, 1.04 percent, and 3.13 percent, respectively. The internet user rate in other nations was 0.52 percent.

2.      It's worth noting that no two countries' home electricity consumption per person was the same. This means that for each Kilowatt-hour of energy utilized per person, the countries had a count of one. This amounted to 0.74 percent of the total. In the meanwhile, there are 77 countries for which data is unavailable.

3.      Countries with a suicide rate of 5 per 100,000 had the highest number of suicides, 22 in total, and a frequency of 11.5 percent. Countries having a suicide rate of 6 to 13 were closely followed. It should be noted that there were a total of 22 countries with no data.

Following these observations, I would want to focus on these countries with a higher frequency than their peers.

N.B. I converted the data in the Gapminder.csv file to integers so that the data could be correlated more easily.

[toeney]

Relationship between Internet User Rate, Electrical Energy Consumption and Suicide Rate

Introduction

I am particularly interested in Internet data usage, electricity consumption, and suicide per 100 people of five African countries and as many European countries after carefully studying the GapMinder codebook and data sets.

The countries were picked at random but one each from the North, South, East West and Central of both continents.

Research Questions

With the data sets available to me, I want to know;

1. If there is a link between Internet User Rate and Suicide per 100TH among African and European citizens.

2. Does the amount of electrical energy consumed per person affect the Internet User Rate and, by extension, Suicide per 100TH?

Hypothesis for Research

People who use the internet a lot and have access to a lot of electricity are more likely to commit suicide than people who relatively do not use the internet as much and do not use a lot of electricity.

Literature Review

Shai (2010), noted that the prevalence of Internet users was significantly and positively correlated with general population suicide rates in both sexes. However, the findings identify and support a need for further research. Lee et. al also opined that a future studies should develop an accurate measurement to clarify the levels at which Internet use relieves the stress and those at which it does not. To do so, relationships between other health risk factors and suicidal behavior must be examined, as does that between Internet use and addictive smartphone use.

I intend to base my research on the aforementioned authors' proposals in order to determine the extent of the relationship between suicide rate, internet user rate, and the effect of energy consumption on the internet user rate and, by extension, the suicide rate.

References

Shah A. The relationship between general population suicide rates and the Internet: a cross-national study. Suicide Life Threat Behav. 2010 Apr;40(2):146-50. doi: 10.1521/suli.2010.40.2.146. PMID: 20465349.

Lee SY, Park E-C, Han K-T, Kim SJ, Chun S-Y, Park S. The Association of Level of Internet Use with Suicidal Ideation and Suicide Attempts in South Korean Adolescents: A Focus on Family Structure and Household Economic Status. The Canadian Journal of Psychiatry. 2016;61(4):243-251. doi:10.1177/0706743716635550

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