我有一个关于florestal烧伤日期的数据库。我想用这个日期做一个柱状图，想核实一下，比如说这个月最火的燃烧。
我的日期：2010/09/21 2010/09/21 2010/09/21 2010/09/21 2010/09/21 2010/09/21 2010/10/18 2011/07/08 2011/07/08 2011/07/09 2011/09/09 2011/08/08/08 2011/08/13 2011/08/16 2011/08/16 2011/08/31 2011/09/13 2011/09/13 2011/09/13 2012/09/09/13 2012/09/09/08 2012/09/08 2012/09/01 2012/09/01 2012/11/22/02/02/19 2013/03/05/082014/08/20 2013/09/13 2015/03/16 2015/03/14 2015/08/13 2020/04/11 2020/04/18 2020/04/18 2020/04/22 2020/04/22 2020/04/23 2020/04/23 2020/04/23 2020/04/27 2020/04/27 2020/04/27 2020/04/29 2020/04/29 2020/05/11 2020/04/28 2020/04/28 2020/06/12 2020/06/12 2020/06/12 2020/06/12 2020/08/11 2020/08/15 2020/08/15 2020/08/15 2020/08/29 2020/08/29 2020/08/29 2020/08/29 2015/10/19 2017/09/10 2018/03/23 2018/06/24 2018/09/11 2018/11/11 2018/11/11 2019/02/06 2019/02/22 2019/03/12 2019/04/14 2019/07/31 2019/07/31 2019/07/31 2016/11/06 2017/07/13 2017/07/13 2017/07/13 2017/07/24 2017/07/24 2017/08/30 2017/08/30 2017/08/30 2017/08/30 2017/03/25
有一个hist。日期方法。
hist(as.Date(d), breaks="months", xlab="Date", main="Forestal burn")
示例数据：
d <- c("2010/09/21", "2010/09/21", "2010/09/21", "2010/09/21", "2010/09/21",
"2010/09/21", "2010/09/21", "2010/10/18", "2011/07/08", "2011/07/08",
"2011/07/09", "2011/07/09", "2011/08/06", "2011/08/13", "2011/08/16",
"2011/08/16", "2011/08/31", "2011/08/31", "2011/09/13", "2011/09/13",
"2011/09/13", "2011/09/13", "2012/09/10", "2012/09/08", "2012/10/01",
"2012/11/22", "2013/02/19", "2013/03/05", "2013/08/03", "2013/08/14",
"2014/08/20", "2013/09/13", "2015/03/16", "2015/03/14", "2015/08/13",
"2020/04/11", "2020/04/18", "2020/04/18", "2020/04/22", "2020/04/22",
"2020/04/23", "2020/04/23", "2020/04/23", "2020/04/27", "2020/04/27",
"2020/04/27", "2020/04/29", "2020/04/29", "2020/05/11", "2020/04/28",
"2020/04/28", "2020/06/12", "2020/06/12", "2020/06/12", "2020/06/12",
"2020/08/11", "2020/08/15", "2020/08/15", "2020/08/15", "2020/08/29",
"2020/08/29", "2020/08/29", "2020/08/29", "2015/10/19", "2017/09/10",
"2018/03/23", "2018/06/24", "2018/09/11", "2018/11/11", "2018/11/11",
"2019/02/06", "2019/02/22", "2019/03/12", "2019/04/14", "2019/07/31",
"2019/07/31", "2019/07/31", "2016/11/06", "2017/07/13", "2017/07/13",
"2017/07/13", "2017/07/24", "2017/07/24", "2017/08/30", "2017/08/30",
"2017/08/30", "2017/08/30", "2017/03/25")
