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It’s Halloween night.

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The wind is howling and the rain is pounding. I can hear it on the roof of my secret laboratory, I mean work shop. It is not a great night for Trick or Treating, but perfect for watching some classic monster movies from the 1930’s and 40’s. Think Boris Karloff or Bela Lugosi. Perfect movies to have playing in the background on such a night as this. On Halloween a pizza (preferably a garlic pizza) is traditionally a good option, or just a good cup of coffee to warm you up near a cozy fire. It’s a spooky night for sure. My work shop is dry and well lit, but I do keep one eye on the door just in case I hear it creaking open or the wind catches it. No walking dead zombies to worry about here I hope, unless you’re referring to the latest Windows 10 updates. I haven’t even bothered with the lat

Getting Weirder out there

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Yes, things are getting crazy out there. If you watch the news you see a lot of strange things that really seem too weird to be true, but apparently this is the new normal. When news shifts from information to opinion, reliability suffers. I have nothing against expressing opinions, but presenting one’s opinion as the only truth is irresponsible. I have my point of view, but you may have an opposing or different one. That is totally understandable and deserves appreciation. We all may have a slightly different view of the world. Computers on the other hand may have a predetermined processing of the world based on their programming, information availability, and potentially skewed processing algorithms. This doesn’t disqualify a machine’s ability to formulate an accurate composite of re
Renaming Columns with R

Renaming Columns with R

Recent Posts, Data Science Using R
Often data you’re working with has abstract column names, such as (x1, x2, x3…). Typically, the first step I take when renaming columns with r is opening my web browser.  For some reason no matter the amount of times doing this it’s just one of those things. (Hoping that writing about it will change that) The dataset cars is data from the 1920s on "Speed and Stopping Distances of Cars". There is only 2 columns shown below. colnames(datasets::cars) [1] "speed" "dist" If we wanted to rename the column "dist" to make it easier to know what the data is/means we can do so in a few different ways. Using dplyr: cars %>% rename("Stopping Distance (ft)" = dist) %>% colnames() [1] "speed" "Stopping Distance (ft)" cars %>% rename("Stopping Di
Exploring Linux Distros

Exploring Linux Distros

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"If You're Gonna Die" "Die with your boots on." Yep, it's a perfect night for some Iron Maiden. Crank up the Marshall and work with some good tunes blasting. With a desktop showing Meatloaf's iconic Bat Out of Hell album cover on my latest Lenovo 110S incarnation running Mint Desktop: Xfce 4.12.3 tk: Gtk 2.24.31 wm: xfwm4 dm: LightDM Distro: Linux Mint 19.2 Tina base: Ubuntu 18.04 bionic I've been running MX 18 on my daily driver, but decided to give the latest Mint spin a try. I've used Mint quit a lot over the last few years. I usually recommend it to anyone looking for a nice alternative to a Windows 10 upgrade from Win 7. Basically the 110S ideapad feels like a cheap plastic lightweight netbook, but amazingly enough it still works well when running Linux - not super usefu...

Linux Proactive VS Reactive

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Don't get yourself in a situation where you spend most of your time doing damage control after problems become unavoidable. Running around putting out fires is usually unproductive beyond temporary patches and band-aids. Use your system to keep watch on issues that may arise from resource limitations, application errors, and the health of the system it'self. A good approach may be to develop a daily procedure for daily system checks. A good place to start is with log files. Logs can be collected from multiple locations within your system. You should have a process to review the logs and to analyze what these logs are providing for clues to the health and security of your system. Some of the available information you may access and retain for further review or documentation. Logs can...