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from collections import OrderedDict | |
import numpy as np | |
import spacy | |
from spacy.lang.en.stop_words import STOP_WORDS | |
nlp = spacy.load('en_core_web_sm') | |
class TextRank4Keyword(): | |
"""Extract keywords from text""" | |
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Country | Alpha-2 code | Alpha-3 code | Numeric code | Latitude (average) | Longitude (average) | |
---|---|---|---|---|---|---|
Afghanistan | AF | AFG | 4 | 33 | 65 | |
Åland Islands | AX | ALA | 248 | 60.116667 | 19.9 | |
Albania | AL | ALB | 8 | 41 | 20 | |
Algeria | DZ | DZA | 12 | 28 | 3 | |
American Samoa | AS | ASM | 16 | -14.3333 | -170 | |
Andorra | AD | AND | 20 | 42.5 | 1.6 | |
Angola | AO | AGO | 24 | -12.5 | 18.5 | |
Anguilla | AI | AIA | 660 | 18.25 | -63.1667 | |
Antarctica | AQ | ATA | 10 | -90 | 0 |
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max_plots <- 5 | |
ui <- fluidPage( | |
headerPanel("Dynamic number of plots"), | |
sidebarPanel( | |
sliderInput("n", "Number of plots", value=1, min=1, max=5) | |
), |