/categories/r/ Recent content in R on Twenty-Six.Two Hugo -- gohugo.io en-us Mon, 01 Jul 2019 00:00:00 +0000 /travel/ Mon, 01 Jul 2019 00:00:00 +0000 /travel/ /travel/2019-05-27-bucket-list/ Mon, 27 May 2019 00:00:00 +0000 /travel/2019-05-27-bucket-list/ Creating a bucket list of places you want to go to or things you want to do can be very helpful tool towards attaining your life goals. Travel Step foot on every continent Running of the Bulls - Pamplona, Spain Move / Work in a different country Cycle accross a country (US, New Zealand) Running 1.2024 US Olympic Marathon Trials Qualifiers Finish all Abbott World Marathon Majors Tokyo London Boston Berlin Chicago New York City Random /travel/2019-05-25-travel-map/ Mon, 27 May 2019 00:00:00 +0000 /travel/2019-05-25-travel-map/ Don’t listen to what they say. Go see. I’ve been stumbling my way around the world for seven years & counting. Via an interactive map, see all the places I’ve visited with just a few small stories to reminisce about. {"x":{"options":{"crs":{"crsClass":"L.CRS.EPSG3857","code":null,"proj4def":null,"projectedBounds":null,"options":{}}},"calls":[{"method":"addTiles","args":["//{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",null,null,{"minZoom":0,"maxZoom":18,"tileSize":256,"subdomains":"abc","errorTileUrl":"","tms":false,"noWrap":false,"zoomOffset":0,"zoomReverse":false,"opacity":1,"zIndex":1,"detectRetina":false,"attribution":"© OpenStreetMap contributors, CC-BY-SA"}]},{"method":"addMarkers","args":[[40.4167754,41.3850639,43.7101728,43.2547731,43.7695604,41.9027835,36.708006,39.7284944,36.1699412,49.9928617,47.9990077,47.0501682,47.3768866,52.5200066,51.5073509,53.3498053,51.7520209,48.5216364,48.7758459,-34.4278121,-35.2809368,-34.4278121,-33.8688197,-37.8136276,-38.4096639,-38.6805638,-37.1748833,-28.6473671,-28.016667,-26.65,-26.398,-25.2398229,-43.5320544,-44.0046736,-44.0696731,-45.0311622,-45.4144515,-44.7031813,-41.7545216,-42.9401153,-43.5320544,-41.28898,-41.2864603,-36.8484597,4.3946735,42.3600825,43.6590993,44.2097928,44.3385559,42.51954,40.7127753,40.789142,40.7449859,45.5154586,47.6062095,47.8021067,49.2827291,49.6506376,38.9071923,41.9141945,41.8781136,42.2711311,43.0730517,37.8651011,36.4863668,36.8878548,34.4208305,32.715738,38.5815719,29.7604267,30.267153,29.9510658,37.2982022,37.5930377,36.1069652,38.5733155,39.1910983,8.537981,18.4860575,-34.6036844,-31.4200833,-34.9011127,41.0082376,41.0082376,42.1354079,42.6977082,43.3209022,44.786568,43.8562586,43.3437748,42.424662,42.6506606,43.3048913,43.0459364,43.1541875,43.5081323,45.8150108,46.0569465,47.497912,48.1485965,48.2081743,47.070714,48.1351253,49.4521018,50.0755381,49.1950602,49.214439,48.856614,50.8503463,51.209348,52.3679843,50.937531,50.73743,53.8007554,54.77525,50.82253,53.230688,53.270668,52.6638367,56.162939,55.6760968,57.70887,55.604981],[-3.7037902,2.1734035,7.2619532,6.6378577,11.2558136,12.4963655,-119.5559652,-121.8374777,-115.1398296,8.2472526,7.8421043,8.3093072,8.541694,13.404954,-0.1277583,-6.2603097,-1.2577263,9.0576448,9.1829321,150.8930607,149.1300092,150.8930607,151.2092955,144.9630576,144.1825171,143.3916182,139.8029173,153.601977,153.4,153.066667,153.093,153.1325243,172.6362254,170.4771212,170.1651854,168.6626435,167.718053,169.1320981,171.6058903,171.5620073,172.6362254,174.008567,174.776236,174.7633315,18.5581899,-71.0588801,-70.2568189,-69.0647838,-68.2733346,-70.8967155,-74.0059728,-73.134961,-73.8642613,-122.6793461,-122.3320708,-123.6043524,-123.1207375,-125.4493906,-77.0368707,-88.3086867,-87.6297982,-89.0939952,-89.4012302,-119.5383294,-118.5657516,-118.5551477,-119.6981901,-117.1610838,-121.4943996,-95.3698028,-97.7430608,-90.0715323,-113.0263005,-112.1870895,-112.1129972,-109.5498395,-106.8175387,-80.782127,-69.9312117,-58.3815591,-64.1887761,-56.1645314,28.9783589,28.9783589,24.7452904,23.3218675,21.8957589,20.4489216,18.4130763,17.8077578,18.771234,18.0944238,16.6527099,16.1540557,16.6527099,16.4401935,15.9819189,14.5057515,19.040235,17.1077478,16.3738189,15.439504,11.5819805,11.0766654,14.4378005,16.6068371,-2.13125,2.3522219,4.3517211,3.2246995,4.9035614,6.9602786,7.0982068,-1.5490774,-1.584852,-0.137163,-0.540579,-9.0567905,-8.6267343,10.203921,12.5683372,11.97456,13.003822],null,null,null,{"interactive":true,"draggable":false,"keyboard":true,"title":"","alt":"","zIndexOffset":0,"opacity":1,"riseOnHover":false,"riseOffset":250},["First city abroad",null,null,null,"@ShelbyBlack, I can't believe we piggybacked ride back from the club after meeting the Jersey Shore","@ManualMoreno & I running around the city for 2 hours since we we're not able to find our hotel" /post/boston/2019_reflection/ Sat, 20 Apr 2019 00:00:00 +0000 /post/boston/2019_reflection/ As of April 20th 2019, I’ve finished my sixth marathon. No matter how the preceding 26.2 miles have played out, I’ve always been thankful that my body has withstood the distance and my mind has managed its aversion to suffering. It also feels good to stop. Unlike each of the six marathons I’d run before, my feeling upon crossing the finish line in this year’s Boston Marathon was absolute joy. /post/boston/pacing_boston/ Mon, 01 Apr 2019 00:00:00 +0000 /post/boston/pacing_boston/ TLDR This is the second in a series of posts on a data analysis of Boston Marathon. The first post focused mainly on particpants and performance. In this post we will look at pacing. How do runners pace the Boston Marathon? Are there significant pacing differences associated with gender and age? Does ability or finish-time influence pacing? How does hitting the wall impact pacing? We will attempt to shed light on these questions using a dataset of more than 70,000 finishing-times for the Boston Marathon. /post/boston/the_runners_of_boston/ Mon, 01 Apr 2019 00:00:00 +0000 /post/boston/the_runners_of_boston/ A Data Analysis of the Boston Marathon TLDR What happened at the Boston Marathon the past few years? In this article I present an initial analysis based on the data from this year’s event. For now we will focus on the participants of this year’s race — their gender, age, place of origin — comparing their participation numbers and finish-times. Introduction With the Boston Marathon quickly approching I thought I would write up a few posts on the data generated by the thousands of runners who completed the punishing course during the years: 2015, 2016, andw 2017. /post/berlin/berlin_world_record/ Fri, 15 Feb 2019 00:00:00 +0000 /post/berlin/berlin_world_record/ A Comparative Data Analysis of Eliud Kipchoge’s World Record at the 2018 Berlin Marathon A Brief Overview In the time since Eliud Kipchoge’s Breaking2 attempt on the Monza race-track in Italy, which secured him a place in the history books with 2 hours and 25 seconds over the marathon distance, he has seemed inevitable that he would go on to break the current marathon world-record, secured held by [Denis Kimetto] (https://www. /tutorial/ Sun, 09 Sep 2018 00:00:00 +0000 /tutorial/ Welcome to the University of Denver - Data Analytics Boot Camp course. The program is rigorous, fast-paced, and focused on the practical technical skills needed to solve data problems. Throughout the course, you’ll gain proficiencies on a host of marketable technologies like Excel, Python, JavaScript, SQL Databases, Tableau, and more. Plus, you’ll have an impressive professional portfolio and the confidence you need to succeed in the data-driven economy. /tutorial/week-two/ Sun, 09 Sep 2018 00:00:00 +0000 /tutorial/week-two/ Monday, March 16th 2020 VBA Vibes Students will understand the fundamental building blocks of all programming languages: variables, arrays, conditionals, loops, and functions Students will understand how to create simple VBA macros to trigger pop ups and change cell values Students will gain practice in writing VBA subroutines that utilize variables and conditionals Students will begin to develop their essential coding skills of syntax recollection, pattern recognition, problem decomposition, and debugging Wendesday, March 18th 2020 Lesson Plan - Vexing VBA Students will understand the basic syntax of a VBA for loop Students will understand how to utilize for-loops in conjunction with conditionals to direct logic flow Students will understand the value of a nested for-loop and gain basic proficiency in their use Students will refine their fundamental coding skills (syntax recollection, pattern recognition, problem decomposition, and debugging) Saturday, March 21th 2020 Getting Real with VBA Students will be comfortable formatting spreadsheets using VBA code Students will understand how to loop through a table using VBA code and check for changes in values