# this scripts reads raw data and updates the database
library(dcrWQX)
library(tidyverse)
# read in the new data
baro1 <- dcrWQX::read_transducer("../raw-data/2019-year-end/DCR Baro 15 min 2016_2019-12-20_16-02-24-219.csv")$data
vy1 <- dcrWQX::read_transducer("../raw-data/2019-year-end/DCR Vineyard 1 15 min 2016_2019-12-20_16-46-19-723-BaroMerge.csv")$data
epo1 <- read_transducer("../raw-data/2019-year-end/DCR ED 1 15 min 2016_Append_2019-12-20_16-04-29-152-BaroMerge.csv")$data
# plots
vy1 %>% ggplot(aes(`Analysis Start Date`, `Result Value`)) + geom_point()
epo1 %>% ggplot(aes(`Analysis Start Date`, `Result Value`)) + geom_point()
epo1 %>% View()
# update database
con <- dcrWQX::connect()
dcrWQX::db_append_data(db_connection = con,
table_name = "results",
data = baro1)
dcrWQX::db_append_data(db_connection = con,
table_name = "results",
data = vy1)
dcrWQX::db_append_data(db_connection = con,
table_name = "results",
data = epo1)
# check the results
con %>%
tbl("results") %>%
head() %>%
collect() %>%
View()
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