У меня есть эти данные
X json_data.time.updated json_data.time.updatedISO json_data.time.updateduk code rate description
1 1 Jan 19, 2019 15:18:00 UTC 2019-01-19T15:18:00+00:00 Jan 19, 2019 at 15:18 GMT USD 3,735.7750 United States Dollar
2 1 Jan 19, 2019 15:19:00 UTC 2019-01-19T15:19:00+00:00 Jan 19, 2019 at 15:19 GMT USD 3,735.9150 United States Dollar
3 1 Jan 19, 2019 15:51:00 UTC 2019-01-19T15:51:00+00:00 Jan 19, 2019 at 15:51 GMT USD 3,736.9100 United States Dollar
4 1 Jan 19, 2019 15:52:00 UTC 2019-01-19T15:52:00+00:00 Jan 19, 2019 at 15:52 GMT USD 3,735.3200 United States Dollar
5 1 Jan 19, 2019 15:54:00 UTC 2019-01-19T15:54:00+00:00 Jan 19, 2019 at 15:54 GMT USD 3,736.7717 United States Dollar
6 1 Jan 19, 2019 15:55:00 UTC 2019-01-19T15:55:00+00:00 Jan 19, 2019 at 15:55 GMT USD 3,736.0750 United States Dollar
7 1 Jan 19, 2019 15:57:00 UTC 2019-01-19T15:57:00+00:00 Jan 19, 2019 at 15:57 GMT USD 3,734.9600 United States Dollar
8 1 Jan 19, 2019 15:58:00 UTC 2019-01-19T15:58:00+00:00 Jan 19, 2019 at 15:58 GMT USD 3,734.9117 United States Dollar
9 1 Jan 19, 2019 16:00:00 UTC 2019-01-19T16:00:00+00:00 Jan 19, 2019 at 16:00 GMT USD 3,734.2833 United States Dollar
10 1 Jan 19, 2019 16:01:00 UTC 2019-01-19T16:01:00+00:00 Jan 19, 2019 at 16:01 GMT USD 3,734.4950 United States Dollar
rate_float
1 3735.775
2 3735.915
3 3736.91
4 3735.32
5 3736.7717
6 3736.075
7 3734.96
8 3734.9117
9 3734.2833
10 3734.495
Мне нужно, чтобы df$rate_float была числовой переменной
Я делаю это
df$rate_float<-as.numeric(df$rate_float)
, но в результате df$rate_floatпросто становится по порядку
1
2
3
4
потерянные реальные значения.Как преобразовать chr в num, чтобы исходные значения не исчезали?