File:Norovirus Cases per Year.png
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Original file (3,500 × 2,500 pixels, file size: 175 KB, MIME type: image/png)
Summary
| Description |
English: Laboratory reports of norovirus infections in England and Wales 2000-2012
Source Data: https://www.gov.uk/government/statistics/norovirus-annual-figures-2000-to-2012 |
| Date | |
| Source | Own work |
| Author | Akaryocyte |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
Source code
Noro <- structure(list(Month = structure(c(6L, 7L, 8L, 9L, 10L, 11L,
12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,
12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 1L, 2L, 3L, 4L, 5L
), .Label = c("Aug", "Sep", "Oct", "Nov", "Dec", "Jan", "Feb",
"Mar", "Apr", "May", "Jun", "Jul"), class = c("ordered", "factor"
)), Cases = c(200L, 370L, 289L, 277L, 154L, 103L, 72L, 70L, 45L,
84L, 156L, 102L, 162L, 195L, 343L, 179L, 127L, 69L, 50L, 82L,
56L, 83L, 132L, 267L, 446L, 103L, 137L, 144L, 276L, 259L, 431L,
282L, 357L, 820L, 419L, 634L, 464L, 449L, 424L, 357L, 127L, 69L,
43L, 47L, 72L, 141L, 83L, 51L, 99L, 166L, 386L, 313L, 232L, 205L,
236L, 73L, 72L, 198L, 451L, 702L, 754L, 449L, 535L, 271L, 164L,
75L, 28L, 36L, 45L, 79L, 106L, 380L, 585L, 783L, 984L, 469L,
302L, 217L, 105L, 131L, 120L, 121L, 372L, 422L, 801L, 855L, 699L,
618L, 278L, 69L, 94L, 124L, 243L, 397L, 774L, 1057L, 1088L, 701L,
749L, 719L, 354L, 168L, 166L, 96L, 239L, 436L, 756L, 1356L, 1681L,
1209L, 969L, 562L, 268L, 250L, 183L, 135L, 180L, 338L, 695L,
1246L, 2626L, 2520L, 2582L, 1091L, 732L, 265L, 133L, 139L, 142L,
189L, 451L, 906L, 1074L, 1297L, 1578L, 898L, 698L, 481L, 345L,
179L, 182L, 292L, 497L, 1027L, 1366L, 1946L, 1112L, 1022L, 758L,
380L, 247L, 142L, 231L, 737L, 1336L, 1568L), Year = c(2000L,
2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L, 2000L,
2000L, 2000L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L, 2001L,
2001L, 2001L, 2001L, 2001L, 2001L, 2002L, 2002L, 2002L, 2002L,
2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2002L, 2003L,
2003L, 2003L, 2003L, 2003L, 2003L, 2003L, 2003L, 2003L, 2003L,
2003L, 2003L, 2004L, 2004L, 2004L, 2004L, 2004L, 2004L, 2004L,
2004L, 2004L, 2004L, 2004L, 2004L, 2005L, 2005L, 2005L, 2005L,
2005L, 2005L, 2005L, 2005L, 2005L, 2005L, 2005L, 2005L, 2006L,
2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L, 2006L,
2006L, 2006L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L,
2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L,
2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2011L, 2011L, 2011L, 2011L,
2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2011L, 2012L,
2012L, 2012L, 2012L, 2012L, 2012L, 2012L, 2012L, 2012L, 2012L,
2012L, 2012L), Season = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L,
13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L,
14L), .Label = c("1999/2000", "2000/2001", "2001/2002", "2002/2003",
"2003/2004", "2004/2005", "2005/2006", "2006/2007", "2007/2008",
"2008/2009", "2009/2010", "2010/2011", "2011/2012", "2012/2013"
), class = "factor")), .Names = c("Month", "Cases", "Year", "Season"
), row.names = c(NA, -156L), class = "data.frame")
library(ggplot2)
library(plyr)
# Sum Cases Per Season
NoroSeason <- ddply(Noro, c("Season"), summarise, Sum=sum(Cases,na.rm=TRUE))
# Remove Seasons with incomplete data
NoroSeason <- subset(NoroSeason, Season != "1999/2000" & Season != "2012/2013")
# Plot Total Case Per Season
ggplot(data=NoroSeason,aes(x=Season, y=Sum,group=0)) + geom_line(size=1) + labs(x="Season (Aug-Jul)", y="Total Cases", title="Norovirus Cases Per Season") + scale_y_continuous(limits=c(0,12600),breaks = seq(0,12600,by = 2000)) + theme_minimal() + theme(axis.text.x = element_text(angle=45,hjust=1),axis.line = element_line(size = 0.5, linetype = "solid",colour = "black"))
ggsave(file="NoroY.pdf", width=7, height=5)
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 20:14, 26 September 2016 | | 3,500 × 2,500 (175 KB) | commons>Cmdrjameson | Compressed with pngout. Reduced by 191kB (52% decrease). |
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