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import os | |
os.environ['OPENAI_API_KEY'] = '<Your OpenAI API Key>' | |
# See here on how to find your Zotero info: https://github.com/urschrei/pyzotero#quickstart | |
ZOTERO_USER_ID = '<Your Zotero User ID>' | |
ZOTERO_API_KEY = '<Your Zotero API Key>' | |
ZOTERO_COLLECTION_ID = '<Your Zotero Collection ID>' | |
question = 'What predictive models are used in materials discovery?' | |
# The following prompt instruction is injected to limit the number of keywords per query |
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@import url(http://fonts.googleapis.com/css?family=Roboto+Slab:700|Exo+2:300,600); | |
/* Eric Meyer's Reset CSS v2.0 - http://cssreset.com */ | |
html,body,div,span,applet,object,iframe,h1,h2,h3,h4,h5,h6,p,blockquote,pre,a,abbr,acronym,address,big,cite,code,del,dfn,em,img,ins,kbd,q,s,samp,small,strike,strong,sub,sup,tt,var,b,u,i,center,dl,dt,dd,ol,ul,li,fieldset,form,label,legend,table,caption,tbody,tfoot,thead,tr,th,td,article,aside,canvas,details,embed,figure,figcaption,footer,header,hgroup,menu,nav,output,ruby,section,summary,time,mark,audio,video{border:0;font-size:100%;font:inherit;vertical-align:baseline;margin:0;padding:0}article,aside,details,figcaption,figure,footer,header,hgroup,menu,nav,section{display:block}body{line-height:1}ol,ul{list-style:none}blockquote,q{quotes:none}blockquote:before,blockquote:after,q:before,q:after{content:none}table{border-collapse:collapse;border-spacing:0} | |
/* Solarized Palette - http://ethanschoonover.com/solarized --------- | |
lightgray : #819090; | |
gray : #70 |
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library(shiny) | |
library(dplyr) | |
library(lubridate) | |
# Load libraries and functions needed to create SQLite databases. | |
library(RSQLite) | |
library(RSQLite.extfuns) | |
saveSQLite <- function(data, name){ | |
path <- dplyr:::db_location(filename=paste0(name, ".sqlite")) |
We can make this file beautiful and searchable if this error is corrected: It looks like row 4 should actually have 19 columns, instead of 14 in line 3.
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Portfolio Manager ID,Property Name,Address,Postal Code,Primary Property Type - EPA Calculated,Property Floor Area (Buildings and Parking) (ft�),Year Built,Number of Buildings,Philadelphia Building ID,Electricity Use - Grid Purchase and Generated from Onsite Renewable Systems (kBtu),Natural Gas Use (kBtu),Fuel Oil #2 Use (kBtu),District Steam Use (kBtu),ENERGY STAR Score,Site EUI (kBtu/ft�),Source EUI (kBtu/ft�),Water Use (All Water Sources) (kgal),Total GHG Emissions (MtCO2e),Notes | |
3965468,Allegheny Business Center,2233 West Allegheny Avenue,19132,Adult Education,87756,1915,1,884558100,1161103.6,774906.4,Not Available,Not Available,Not Available,22.1,50.8,5.6,188.1, | |
3999203,Art Institute of Philadelphia,1618 - 1622 Chestnut Street,19103,Adult Education,79480,1931,1,772509500,7329927.9,Not Available,Not Available,1073596,Not Available,105.7,305.8,1917.7,1052.5, | |
3875830,Center One,9880 Bustleton Ave,19115,Ambulatory Surgical Center,79485,1980,1,778025205,7748344.9,Not Available,Not Available,Not Available,Not A |
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category | value | sector | |
---|---|---|---|
UK production emissions | 632 | UK | |
Carbon flows from EU | 88 | EU | |
Carbon flows to EU | -61 | EU | |
Carbon flows from other Annex 1 | 82 | Annex 1 | |
Carbon flows to other Annex 1 | -39 | Annex 1 | |
Carbon flows from non-Annex 1 | 104 | Other non-Annex 1 | |
Carbon flows from non-Annex 1 | 64 | China | |
Carbon flows to non-Annex 1 | -25 | Non-Annex 1 | |
UK consumption emissions | 845 | UK |
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Title: Word cloud | |
Author: Fereshteh Karimeddini <[email protected]> | |
AuthorUrl: http://www.rstudio.com/ | |
License: MIT | |
DisplayMode: Showcase | |
Tags: wordcloud text-mining actionbutton | |
Type: Shiny |
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# 加载所需扩展包 | |
library(RCurl) | |
library(RJSONIO) | |
library(XML) | |
# 建立一个根据网址提取天气预报的子函数 | |
fromurl<- function(finalurl) { | |
# 先读取网页,再解析JSON数据存在raw中 | |
web <- getURL(finalurl) | |
raw <-fromJSON(web) | |
high <- raw$forecast$simpleforecast$forecastday[[2]]$high['celsius'] |