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1. Describe your teaching and tutoring experience. | |
I've had a few teaching positions throughout my college career. | |
I started as a conversation partner at the International Student Services office. I would meet individually with students once or twice a week to practice their English. At the start of the semester we would cover basic grammar, but by the end we were discussing American expressions and slang terms. | |
I also worked as a teachers assistant for the remedial English classes put on by the program. I never taught lessons in front of the whole class, but I was in charge when it came to breakout groups. | |
During the summer, I started applying for jobs related to my industry and landed a part-time IT position for the Extension and International Programs Department. I was in charge of the help desk, so I would assist all faculty members with any tech related issues. Even though my responsibility was to simply resolve the issue, I would often walk through my thought process with the employee so they may |
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class TreeNode { | |
value: number; | |
left: TreeNode | null; | |
right: TreeNode | null; | |
constructor(value: number) { | |
this.value = value, | |
this.left = null; | |
this.right = null; | |
} |
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import * as admin from "firebase-admin"; | |
// service-account.json is in project directory, not src | |
const serviceAccount = require("../service-account.json"); | |
admin.initializeApp({ | |
credential: admin.credential.cert(serviceAccount), | |
databaseURL: "https://stats-for-life.firebaseio.com" | |
}); |
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library(tidyverse) | |
rawConfirmed <- read_csv("https://gist.githubusercontent.com/masautt/5cc4a0c82ff8ae344a6f560b220ddad6/raw/1c82d18c4433940ea9b6589e89fdae08fb110cc2/confirmed.csv") | |
rawDeaths <- read_csv("https://gist.githubusercontent.com/masautt/2a640c1e573496ad0f99c81371c06fa2/raw/f1ce36b581869c77c0db2fc0cd6d256c40e0d38d/deaths.csv") | |
rawHospitalBeds <- read_csv("https://gist.githubusercontent.com/masautt/a1487184f38e1d53fdca922ea2ef6801/raw/8d7ad2cbb74aad5c1363bc40400b8f47b06d08ce/hospitalbeds.csv") | |
rawDemographics <- read_csv("https://gist.githubusercontent.com/masautt/4ef7c61d84857194ebb87449c7e68c46/raw/261620b7fad94c169320acff71d09e5c41f6ff2c/demographics.csv") | |
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Country Name | Country Code | Series Name | Series Code | YR2015 | |
---|---|---|---|---|---|
Afghanistan | AFG | Life expectancy at birth, total (years) | SP.DYN.LE00.IN | 63.377 | |
Afghanistan | AFG | Urban population | SP.URB.TOTL | 8535606 | |
Afghanistan | AFG | Population, total | SP.POP.TOTL | 34413603 | |
Afghanistan | AFG | Population ages 80 and above, female | SP.POP.80UP.FE | 48319 | |
Afghanistan | AFG | Population ages 80 and above, male | SP.POP.80UP.MA | 37233 | |
Afghanistan | AFG | Population ages 15-64, male | SP.POP.1564.MA.IN | 9386355 | |
Afghanistan | AFG | Population ages 15-64, female | SP.POP.1564.FE.IN | 8730445 | |
Afghanistan | AFG | Population ages 0-14, male | SP.POP.0014.MA.IN | 7905639 | |
Afghanistan | AFG | Population ages 0-14, female | SP.POP.0014.FE.IN | 7538168 |
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 94 columns, instead of 29 in line 2.
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Province/State,Country/Region,Lat,Long,1/22/20,1/23/20,1/24/20,1/25/20,1/26/20,1/27/20,1/28/20,1/29/20,1/30/20,1/31/20,2/1/20,2/2/20,2/3/20,2/4/20,2/5/20,2/6/20,2/7/20,2/8/20,2/9/20,2/10/20,2/11/20,2/12/20,2/13/20,2/14/20,2/15/20,2/16/20,2/17/20,2/18/20,2/19/20,2/20/20,2/21/20,2/22/20,2/23/20,2/24/20,2/25/20,2/26/20,2/27/20,2/28/20,2/29/20,3/1/20,3/2/20,3/3/20,3/4/20,3/5/20,3/6/20,3/7/20,3/8/20,3/9/20,3/10/20,3/11/20,3/12/20,3/13/20,3/14/20,3/15/20,3/16/20,3/17/20,3/18/20,3/19/20,3/20/20,3/21/20,3/22/20,3/23/20,3/24/20,3/25/20,3/26/20,3/27/20,3/28/20,3/29/20,3/30/20,3/31/20,4/1/20,4/2/20,4/3/20,4/4/20,4/5/20,4/6/20,4/7/20,4/8/20,4/9/20,4/10/20,4/11/20,4/12/20,4/13/20,4/14/20,4/15/20,4/16/20,4/17/20,4/18/20,4/19/20,4/20/20 | |
,Afghanistan,33.0,65.0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,4,4,4,4,4,4,4,6,6,7,7,11,14,14,15,15,18,18,21,23,25,30,30,30,33,36 | |
,Albania,41.1533,20.1683,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 |
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 94 columns, instead of 5 in line 2.
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Province/State,Country/Region,Lat,Long,1/22/20,1/23/20,1/24/20,1/25/20,1/26/20,1/27/20,1/28/20,1/29/20,1/30/20,1/31/20,2/1/20,2/2/20,2/3/20,2/4/20,2/5/20,2/6/20,2/7/20,2/8/20,2/9/20,2/10/20,2/11/20,2/12/20,2/13/20,2/14/20,2/15/20,2/16/20,2/17/20,2/18/20,2/19/20,2/20/20,2/21/20,2/22/20,2/23/20,2/24/20,2/25/20,2/26/20,2/27/20,2/28/20,2/29/20,3/1/20,3/2/20,3/3/20,3/4/20,3/5/20,3/6/20,3/7/20,3/8/20,3/9/20,3/10/20,3/11/20,3/12/20,3/13/20,3/14/20,3/15/20,3/16/20,3/17/20,3/18/20,3/19/20,3/20/20,3/21/20,3/22/20,3/23/20,3/24/20,3/25/20,3/26/20,3/27/20,3/28/20,3/29/20,3/30/20,3/31/20,4/1/20,4/2/20,4/3/20,4/4/20,4/5/20,4/6/20,4/7/20,4/8/20,4/9/20,4/10/20,4/11/20,4/12/20,4/13/20,4/14/20,4/15/20,4/16/20,4/17/20,4/18/20,4/19/20,4/20/20 | |
,Afghanistan,33.0,65.0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,4,4,5,7,7,7,11,16,21,22,22,22,24,24,40,40,74,84,94,110,110,120,170,174,237,273,281,299,349,367,423,444,484,521,555,607,665,714,784,840,906,933,996,1026 | |
,Albania,41.1533,20.1683, |
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Country | Year | Hospital beds (per 10 000 population) | |
---|---|---|---|
Afghanistan | 2015 | 5 | |
Afghanistan | 2014 | 5 | |
Afghanistan | 2013 | 5 | |
Afghanistan | 2012 | 5 | |
Afghanistan | 2011 | 4 | |
Afghanistan | 2010 | 4 | |
Afghanistan | 2009 | 4 | |
Afghanistan | 2008 | 4 | |
Afghanistan | 2007 | 4 |
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x | y | |
---|---|---|
128.8045 | 134.18756000000002 | |
136.509 | 141.86945 | |
84.4863 | 140.55118 | |
75.62268 | 132.55118 | |
66.75906 | 124.55118 | |
68.03173 | 94.3694 | |
75.62268 | 86.1876 | |
83.21362 | 78.0058 | |
111.1681 | 87.5512 |
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x | y | |
---|---|---|
116.3003 | 133.18189 | |
92.84575 | 132.63646 | |
76.48212 | 133.45457 | |
71.02756 | 125.00008 | |
70.93661 | 119.81827 | |
70.84575 | 114.63638 | |
70.75481 | 109.45457 | |
74.57299 | 88.7273 | |
85.20937 | 80.2728 |
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