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import matplotlib.pyplot as plt | |
import matplotlib as mpl | |
from cycler import cycler | |
colors_cycle = ['#30a2da', '#fc4f30', '#e5ae38', '#6d904f', '#8b8b8b'] | |
mpl.rcParams['axes.edgecolor'] = '#999999' | |
mpl.rcParams['axes.grid'] = True | |
mpl.rcParams['grid.color'] = '#999999' | |
mpl.rcParams['axes.labelsize'] = 18 | |
mpl.rcParams['axes.labelweight'] = 2 |
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TOTAL | Très positif | Very positive | Plutôt positif | Fairly positive | Plutôt négatif | Fairly negative | Très négatif | Very negative | NSP | DK | Total 'Positif' | Total 'Positive' | Total 'Négatif' | Total 'Negative' | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CZ | 1001 | 44 | 4 | 336 | 34 | 335 | 33 | 219 | 22 | 67 | 7 | 380 | 38 | 554 | 55 | |
SK | 1013 | 87 | 9 | 378 | 37 | 354 | 35 | 134 | 13 | 61 | 6 | 465 | 46 | 488 | 48 | |
BG | 1026 | 151 | 15 | 400 | 39 | 221 | 21 | 125 | 12 | 129 | 13 | 552 | 54 | 346 | 33 | |
CY | 505 | 31 | 6 | 203 | 40 | 135 | 27 | 117 | 23 | 19 | 4 | 234 | 46 | 252 | 50 | |
MT | 502 | 52 | 10 | 212 | 42 | 176 | 35 | 37 | 8 | 25 | 5 | 263 | 52 | 213 | 43 | |
IT | 1021 | 81 | 8 | 442 | 43 | 305 | 30 | 157 | 15 | 36 | 4 | 523 | 51 | 462 | 45 | |
RO | 1042 | 107 | 10 | 453 | 44 | 322 | 31 | 67 | 6 | 94 | 9 | 560 | 54 | 389 | 37 | |
LV | 1000 | 47 | 5 | 437 | 44 | 324 | 32 | 130 | 13 | 63 | 6 | 484 | 49 | 453 | 45 | |
EL | 1004 | 127 | 13 | 442 | 44 | 253 | 25 | 157 | 16 | 25 | 2 | 569 | 57 | 410 | 41 |
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Source: Wittgenstein Centre for Demography and Global Human Capital (2015). Wittgenstein Centre Data Explorer Version 1.2. | |
Available at: www.wittgensteincentre.org/dataexplorer | |
Note: Your selection includes at least one country with limited base year data on educational attainment. Please consult the FAQ for more information | |
"" | |
"Sex Ratio" | |
"The ratio of males to females in the population by age. Available in all scenarios and at all geographical scales. It is expressed as the number of males per female. <br><br> Data for 1970 to 2010: Based on <a href=""http://esa.un.org/wpp/documentation/WPP%202010%20publications.htm"">UN Population Division, World Population Prospects 2010</a> " | |
"Medium (SSP2)" | |
" " | |
"Area","Year","Age","Ratio" | |
"Afghanistan",1970,"All",1.08 |
We can't make this file beautiful and searchable because it's too large.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Source: Wittgenstein Centre for Demography and Global Human Capital (2015). Wittgenstein Centre Data Explorer Version 1.2. | |
Available at: www.wittgensteincentre.org/dataexplorer | |
Note: Your selection includes at least one country with limited base year data on educational attainment. Please consult the FAQ for more information | |
"" | |
"Sex Ratio" | |
"The ratio of males to females in the population by age. Available in all scenarios and at all geographical scales. It is expressed as the number of males per female. <br><br> Data for 1970 to 2010: Based on <a href=""http://esa.un.org/wpp/documentation/WPP%202010%20publications.htm"">UN Population Division, World Population Prospects 2010</a> " | |
"Medium (SSP2)" | |
" " | |
"Area","Year","Age","Ratio" | |
"Afghanistan",1970,"All",1.08 |
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Customer | Price | Display_size | Colour | BuyTV | |
---|---|---|---|---|---|
1 | 2000 | 32 | black | No | |
2 | 1000 | 32 | black | Yes | |
3 | 2000 | 56 | black | No | |
4 | 1000 | 40 | white | Yes | |
5 | 1500 | 56 | white | Yes | |
6 | 2000 | 56 | black | No | |
7 | 1500 | 56 | white | Yes | |
8 | 1500 | 32 | white | No |
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