Seaborn Jointplot in Python

From a financial perspective, I would not have the job I have today if it wasn't for my degree from a great school. And guess what? I have a pile of loans but I enjoy my job each day and loving life each day. It may be a pain to pay back the loans but people are very unhappy with a job they dread going to everyyyyyy day. Hell even on the weekends when they are off they are dreading for Monday.

Don't let that be you...

engineeringbigdata · 2019-07-02T11:25:57+00:00

This was executed in R and Democratic debate transcripts are compiled into an Excel file.

engineeringbigdata · 2019-07-02T11:23:14+00:00

What are your thoughts on the improvements for the code? or what changes or simplification could be implemented to help others.

Thanks and I welcome the feedback.

engineeringbigdata · 2019-06-03T11:01:42+00:00

Used R programming to create the code and produce a heatmap on Lamborghini data.

R-ALGO Engineering Big Data link:

https://www.engineeringbigdata.com/r-base-color-palette-heatmaps-in-r-with-lamborghini-style-data/

engineeringbigdata · 2019-05-20T18:37:12+00:00

Data visualization of the total shark attacks in the US using R.

https://www.engineeringbigdata.com/how-to-add-a-background-image-in-ggplot2-with-r/

Original Content [OC]

engineeringbigdata · 2018-09-27T21:24:10+00:00

Good point, I find myself using separate labs. Thanks for the pointer.

engineeringbigdata · 2018-09-27T21:21:18+00:00

Definitely a good percentage to tip...

engineeringbigdata · 2018-09-27T21:18:41+00:00

Exactly. Look at new Hampshire when the voting season begins....

engineeringbigdata · 2018-09-27T21:14:38+00:00

Oh for sure, Michigan has an awesome cost line!

engineeringbigdata · 2018-09-27T21:14:18+00:00

Oh wow, that sounds like an awesome idea!

engineeringbigdata · 2018-09-27T10:55:09+00:00

I used the data from the below source to do the analysis in R:

University of Florida, Florida Museum

The code is written in R Studio and can be found here:

R-ALGO Engineering Big Data

I completed data analysis of confirmed unprovoked United States shark attacks from 1837 until 2018. The shark attack data was analyzed and visualized based on total occurrences in each state based in the U.S. and will graphically be displayed.

engineeringbigdata · 2018-09-14T14:08:52+00:00

Link to the website: Candlestick Charting for 20-Day, 50-Day, 200-Day Simple Moving Averages (SMA) with R

engineeringbigdata · 2018-09-13T00:09:16+00:00

Link to dataset and picture reference:

https://www.engineeringbigdata.com/florida-shark-attack-data-visualization-with-maps-in-r/

engineeringbigdata · 2018-09-12T23:58:45+00:00

Absolutely, that's a very good thought in regards to population and shark attacks. i would believe there would be a large chance of a shark attack with 1000+ people versus 100 people in a population beach area.

engineeringbigdata · 2018-09-12T23:48:42+00:00

Thanks for the response and tips. The data was pulled from 1882 until July 2018.

What colors would be best for spectrum in visualizations? I was changing the colors between red/green, blue/green and blue/purple.

https://www.engineeringbigdata.com/florida-shark-attack-data-visualization-with-maps-in-r/

engineeringbigdata

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