| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import pandas as pd" | |
| ] |
| Entity | 20 to 39 years | 40 to 49 years | 50 to 59 years | 60 to 69 years | 70 to 79 years | 80 years and over | |
|---|---|---|---|---|---|---|---|
| Senate | 0.05 | 0.075 | 0.275 | 0.25 | 0.25 | 0.1 | |
| Assembly | 0.1 | 0.125 | 0.3625 | 0.325 | 0.075 | 0.0125 | |
| NJ Residents | 0.259 | 0.132 | 0.144 | 0.114 | 0.067 | 0.041 |
| zip,one_level,five_level,six_level,two_level,three_level,four_level,Total,max_level,max_num_returns,richest_lvl_pct,poorest_lvl_pct | |
| 00000,1406140.0,700990.0,331180.0,906970.0,587680.0,398740.0,4331700.0,"$1 under $25,000",1406140.0,0.0764549714893,0.324616201491 | |
| 07001,2060.0,1100.0,130.0,1550.0,1140.0,910.0,6890.0,"$1 under $25,000",2060.0,0.0188679245283,0.298984034833 | |
| 07002,11220.0,3860.0,790.0,7850.0,5070.0,2990.0,31780.0,"$1 under $25,000",11220.0,0.0248584015104,0.35305223411 | |
| 07003,7630.0,3980.0,910.0,6190.0,4530.0,2840.0,26080.0,"$1 under $25,000",7630.0,0.0348926380368,0.292561349693 | |
| 07004,1040.0,920.0,480.0,640.0,490.0,440.0,4010.0,"$1 under $25,000",1040.0,0.11970074813,0.259351620948 | |
| 07005,2110.0,1650.0,990.0,1350.0,1040.0,780.0,7920.0,"$1 under $25,000",2110.0,0.125,0.266414141414 | |
| 07006,2880.0,3020.0,2320.0,1770.0,1530.0,1150.0,12670.0,"$100,000 under $200,000",3020.0,0.183109707972,0.227308602999 | |
| 07008,4670.0,1250.0,120.0,3020.0,1860.0,1080.0,12000.0,"$1 under $25,000",4670.0,0.01,0.389166666667 | |
| 0 |
| id | Size of adjusted gross income | Number of returns | Total charitable contributions - Number of returns | Total charitable contributions - Amount | percent_charitable | |
|---|---|---|---|---|---|---|
| 07001 | Total | 6890.0 | 1970 | 4871 | 28.5921625544 | |
| 07002 | Total | 31780.0 | 7620 | 22130 | 23.9773442417 | |
| 07003 | Total | 26080.0 | 8440 | 23102 | 32.3619631902 | |
| 07004 | Total | 4010.0 | 2010 | 5892 | 50.1246882793 | |
| 07005 | Total | 7920.0 | 3570 | 12657 | 45.0757575758 | |
| 07006 | Total | 12670.0 | 6700 | 30727 | 52.8808208366 | |
| 07008 | Total | 12000.0 | 2860 | 7559 | 23.8333333333 | |
| 07009 | Total | 6130.0 | 3290 | 11458 | 53.6704730832 | |
| 07010 | Total | 11850.0 | 3630 | 12503 | 30.6329113924 |
| Corrected_town_2,OG_town,County,NJSP_CODE,Year,Area in square miles,Density per square mile,Character,Male police officers,Female police officers,Civilian,Total police employees,Geo_level,Est pop | |
| Absecon City,Absecon City,Atlantic,001,2016,5.7,1459.1,Suburban,22,3,5,30,Municipality,8317 | |
| Atlantic City,Atlantic City,Atlantic,002,2016,11.84,3315.9,Urban Ctr.,240,38,119,397,Municipality,41608 | |
| Brigantine City,Brigantine City,Atlantic,003,2016,6.39,1440.4,Suburban,33,2,13,48,Municipality,13253 | |
| Buena Boro,Buena Boro,Atlantic,004,2016,7.4,612.7,Rural,9,0,2,11,Municipality,4534 | |
| Buena Vista Township,Buena Vista Township,Atlantic,005,2016,41.83,179.4,Rural,0,0,0,0,Municipality,7506 | |
| Corbin City,Corbin City,Atlantic,006,2016,8.3,59.3,Rural,0,0,0,0,Municipality,492 | |
| Egg Harbor City,Egg Harbor City,Atlantic,007,2016,10.89,389.3,Rural,9,2,1,12,Municipality,4239 | |
| Egg Harbor Township,Egg Harbor Township,Atlantic,008,2016,67.94,645.9,Rural,81,4,25,110,Municipality,43882 | |
| Estell Manor City,Estell Manor City,Atlantic,009,2016,53.75, |
(because Google API and Mapquest have 2,500 and 5,000 daily requests quotas, respectively. And sometimes, we want a little more.)
Click on your address column -> Edit Column -> Add column by fetching URLs
Name your new column 'mapzen_geo', and in the Expression box, put:
##International Business Times Data Journalism Fellow
We’re looking for a data fellow (paid!) at International Business Times with some data and coding skills. You’ll be working with me (yay!) reporting on data-driven stories and helping visualize them. You don’t have to be an expert at everything. Just be willing to dive in with some great data story and graphics ideas. We’re mostly looking for current students and recent graduates getting their start in journalism to fill this spot. This a 12-week opportunity that pays $12 per hour with a 40-hour week starting ASAP in our New York City office.
Here at IBT, we use all kinds of programming languages and tools to get the job done so it doesn’t matter to which one you prefer. More into R than Python? Great! Prefer Adobe Illustrator over D3.js? That’s great too. Interested in learning a new tool? We got you covered! Again, you don’t have to be an expert in every d
| We’re looking for a data fellow (paid!) at International Business Times with some data and coding skills. You’ll be working with me (yay!) reporting on data-driven stories and helping visualize them. You don’t have to be an expert at everything. Just be willing to dive in with some great data story and graphics ideas. We’re mostly looking for current students and recent graduates getting their start in journalism to fill this spot. More details found [here](http://ibtimes.applytojob.com/apply/mePEvM/Data-Journalism-Fellow) | |
| Interested or know someone who would be a good fit? Send me a resume and a few sentences about yourself, what you do, what you know and would like to do/ learn at International Business Times. Also, please send me a link to a portfolio of your work. Github accounts work too! | |
| Send it all to c.astudillo@ibtimes.com and you can also email me with any questions too. |
| // Use Gists to store code you would like to remember later on | |
| console.log(window); // log the "window" object to the console |
