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CO2 Emissions

The research question is:

In what countries the most carbon dioxide (CO2) is produced by human activities?

What are the countries that consume the most of the products (goods) that cause CO2 emissions?

My audience is people who have healthy environmental concerns.

The data is obtained from Data on CO2 and Greenhouse Gas Emissions by Our World in Data

Carbon dioxide (CO2) is a primary greenhouse gas emitted by various human activities. Gases that trap heat in the atmosphere are called greenhouse gases. Too much of these greenhouse gases can cause climate change on Earth.

In this project, I look at the production-based (i.e. emissions from the burning of fossil fuels, or cement production within a country’s borders). It does not consider the emissions traded goods (consumption-based emissions). Also, I compare that with consumption-based emissions that are national or regional emissions that have been adjusted for trade (i.e. territorial/production emissions minus emissions embedded in exports, plus emissions embedded in imports). If a country’s consumption-based emissions are higher than its production emissions it is a net importer of carbon dioxide.

Production-based vs. consumption-based:

Over the years the order of countries that have the most CO2 emissions based on production or consumption have changed. The following dashboard illustrates that for countries.

Since some countries’ land are larger, it’s reasonable to calculate the CO2 emissions per person in those countries.

Over the years, the order of countries for CO2 emissions per capita has changed as well.

Human activities cause CO2 emissions in the world. Co2 Emissions factors by human activities are oil, gas, and coal combustion, cement production, flaring (Gas flaring is the burning of natural gas associated with oil extraction.), and other industries ( primarily come from burning fossil fuels for energy, as well as greenhouse gas emissions from certain chemical reactions necessary to produce goods from raw materials).

Some known factors that cause Co2 emissions in Countries:

This is a very complicated topic that involves many factors. Therefore, it’s still being investigated by scientists. For further investigation, I should look at how the countries GDP affects CO2 emissions.

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My Food Expenses for the Last Month

My research question is “What is the distribution of my food expenses based on the food types?”. I started with the question that “ What kind of food do I shop the most from my local market?”. I was also thinking to analyze the frequency of shopping for certain food types. But when I started to analyze my data, it made more sense to see the food types I shop usually for and the distribution of expenses.
My goal is to illustrate the pattern in my food shopping regarding the food types and the expenses, so I can make better decisions in my future shopping considering my budget and the healthy diet requirements for my family. Another reason is that I find the vegetable and fruits prices high, so I wanted to see how much I spend specifically on them.
I collected my data from the receipts of my market shopping for my five people family by date at first for around a month. Then, I rearranged the table by transposing it to be able to get a bar chart to compare the food types.
I created a bar chart to see my expenses in different food types.

The chart shows that my most expenses are for seafood and for meat. Because I think vegetables and fruits are expensive, so I was trying to save some from them. This visualization tells me that I can be more flexible on spending more on them considering the importance of vegetables and fruits in a healthy diet.

When I consider a healthy diet, I should analyze the trade-offs of spending on processed foods and the time I spend on food preparation.

I recorded the estimated time when I prepared food to illustrate the consumed time with different food types in preparation.

We all know that processed foods are not the best choices for our health. However, preparing processed foods usually takes less time than fresh foods or cooking dried beans. To make a better decision in my diet, I should consider the trade-offs between using fresh foods and processed foods considering the time spent on food preparation, cost, and the effects of foods I choose on my body.

To get a better picture of my spending on food, I grouped some food types and compared the total spendings on them.

The chart shows that I spend more on seafood and red meat.

To make a better decision for a healthy diet, I should continue to collect more data and visualize it. Because in my present data I didn’t include all of my shopping, like beverages, packed foods and etc., it doesn’t show the whole picture. If I expand this project, it would help me to make rearrangements in my shopping pattern and control my budget and time management.

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311 Service Requests Complaints about Residential Noise

Because the New York City population is so dense in a limited place and also, the structure of apartment buildings, residential-noise problems are so common. After the Covid-19 pandemic started, most people have stayed at home, some are working or studying from home. The questions are:

  • Is there an increase in residential noise complaints after the pandemic started?
  • Which borough has the most residential noise complaints?

Too much residential noise disturbs the NY City residents and affects their life and health. 311 Service Requests about residential noise complaints from August 2019 – July 2021 data analysis would benefit the NYC residents who are looking for an apartment to rent or to buy.

In 311 Service Requests about residential noise complaints data analysis, a line graph depicts the trend of the complaints from August 2019 – July 2021. I wanted to compare the five boroughs in residential noise complaints with a bar graph. In further, in each borough, which neighborhoods have the most complaints about residential noise.

Trend Line of the Residential Noise Complaints from August 2019 – July 2021
Comparisons of Five Boroughs in Residential Noise Complaints from August 2019 – July 2021

The bars illustrate the count of complaints in each borough from August 2019 – July 2021.

Complaints in the Bronx about Residential Noise

The bars illustrate the count of complaints in the Bronx by zip code.

Complaints in Brooklyn by Zip Code

The count of complaints about residential noise is depictted by bars in Brooklyn by zip code.

Complaints in Queens by City
Complaints in Manhatten by Zip Code
Complaints in Staten Island by Zip Code

311 Service Requests about residential noise data analysis illustrate the number of complaints in five boroughs and further, it depicts each borough separately. In the future, I can investigate each borough on a map to see the density of complaints by zip code. Also, depicting the rank of comlaints types would help my audience.

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Data Visualization Portfolio

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