Of the 10 richest countries in the world, Denmark's Consumer Price Index inflation saw a substantial 20.4 percent increase from January 2019 to January 2022. This is the country’s biggest spike in CPI inflation since 1984, according to Statistics Denmark. I gathered data on the top 10 countries by GDP from WorldBank.org and used the International Monetary Fund’s website to calculate each country’s CPI percentage change for all goods from January 2019 to January 2022. I also calculated each country’s CPI percentage change for fuel over the same period. I found sources that addressed questions I had about Denmark's exceptionally high inflation spike, adding weight to my open data results and providing insights into Denmark’s economy. Nordea Corporate reported that the inflation spike around January 2021 was largely due to higher energy prices, including gas. They also stated that wage inflation would drive higher consumer prices, contributing to the 20.4 percent increase in 2...
1. What dataset will you use for your final report? (title of your dataset, include a link to it and claim it at the URL above and here too) The dataset that I will be using for my final report is titled, " Consumer Price Index, monthly, not seasonally adjusted" and it is linked at the appropriate URL given in the handout provided. 2. Describe the dataset. What kind of data does it contain? My dataset will cover the inflation rate of prices of things like gas, groceries, and rent to see how drastically different the cost to live is now vs then. The dataset includes all of the provinces of Canada's CPI rate for energy, gasoline, rent, groceries, etc... for each month of the year. The data is based off of a CPI which provides a baseline starting at 100 to give context to each datapoint and its respective increase in price/time. It contains data that runs from 2015-2022 3. Is there anything about your data that you don’t understand? (i.e. what a column heading means). H...
I have picked a data visualization graph that displays Tesla's 2q's 2022 financial report and upon first glance, I thought it needed some work. I think that this graph can be understood eventually, but I also think it's weaknesses outshine its strengths. I want to start assessing this graph by explaining its strengths. I thought that things as they are displayed are not too crowded, and the graph as a whole is simple enough to at least be able to see where everything is at and what is trying to be labelled. This strength is both a strength and a weakness because although this graph keeps things simple and digestible with only two colors, it could have benefitted from probably a solid green color labelling profit more adequately. Overall though I do like the fact the graph is void of a plethora of color. Another minor strength I found present was that the data scoured throughout the graph made sense and I could easily see how one number came from another number with how cos...
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