Auto Sales Data Visualization by Manufacturer

Data: Edmunds

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Top Manufacturer

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Quarterly breakup of units sold by manufacturer

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View the interactive visualizations

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Holiday Sales by category

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Fresh and Frozen Fruit consumption – U.S. Bureau of Labor Statistics

The south and the West consume highest amount of Fruits.

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Here is more individual breakdown by Quarterly expenditure on Fruits (figures in 100 million)

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50 years of killing Deer – Data visualization and analysis

Virginia maintains the summary of Deer kills way back from 1947

The stack bar gives a total view of the killings and how it has grown over the years

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By comparing the killings on a line chart we see that the female Deer killings has an uptick from 2008 onwards

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USA War Casualties

iCasualties.org maintains documented list of all fatalities for Iraq and Afghanistan wars.

Analysing the dataset for Afghanistan, we summarize the results by the year

NOTE: This contains only Afghanistan metrics. We will later update the visuals to reflect Iraq war.

 

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USA war fatalities by year

We are approaching the levels of 2002 and hope for the best that we don't have to suffer another wars.

Here is another view by year and month

 

 

The dataset contains the age of each person died in the war so summarizing by Age

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War Deaths by Age

Checking it against the year

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Why so many young deaths between age 20 and 30 for the year 2014?

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Where did most of the deaths occur?

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Where were the soldiers from?

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Deaths by Rank

 

 

Cause of Death

Attack Types

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Helicopter Crash is the one of the top death cause in Non Hostile situations

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Bed bugs in Boston – Analysis of Boston 311 public dataset

Digging into the Boston public Dataset can reveal interesting and juicy facts. Even though there is nothing juicy about Bed bugs but the data about Boston open cases for Bed bugs is quite interesting and worth looking at. We uploaded the entire 50 mb data dump which is around 500K rows into the Data Visualizer and filtered the category for Bed Bugs. Splitting the date into its date hierarchy components we then plotted the month on the Y axis. It seems that the City of Boston started collecting this data around 2011 and has only partial data for that year. Interestingly, the number of Bed bug cases seem to rise during the summer months. Now if we break the lines into Quarters (we just add the quarter hierarchy to the mix)
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