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Libraries: devtools, dplyr, data.table, DT, ggplot2
Reading a CSV file created by a Python routine that reads a .98c file
setwd("C:/Users/Dario/Documents/IHS/atascosa_r_project")
dfh <- tbl_df(read.table(file = "Atascosa_Header.csv",
header = T, sep = ",",
na.strings = c(NA, ""),
colClasses = c('character')
)
)
Dealing only with non-Multi Wells
## [1] "prod_id" "source_name" "region_code"
## [4] "state_code" "field_code" "county_code"
## [7] "county_name" "oper_code" "prod_code"
## [10] "mode_code" "formtn_code" "basin_code"
## [13] "cbm_indi" "enhrec_flag" "lease_name"
## [16] "oper_name" "api_number" "mms_suffix"
## [19] "well_number" "total_depth" "bh_press"
## [22] "bh_temp" "type_well" "direc_drill_flag"
## [25] "well_stat" "permit_number" "bh_calc"
## [28] "true_vdepth" "well_serial_number" "latitude"
## [31] "longitude" "lat_long_source" "surf_datum"
## [34] "bh_latitude" "bh_longitude" "bh_lat_long_source"
## [37] "bh_datum" "plugged_date" "uppr_perf"
## [40] "lowr_perf"
## Source: local data frame [6 x 5]
##
## prod_id lease_name well_number latitude longitude
## (chr) (chr) (chr) (dbl) (dbl)
## 1 1420100152501H LITTLE L & C 1H 28.95393 -98.33186
## 2 1420100152502H LITTLE L & C 2H 28.95259 -98.34224
## 3 14201001525110H PEELER RANCH 10H 28.72055 -98.45613
## 4 14201001525111H PEELER RANCH 11H 28.72645 -98.45019
## 5 14201001525112H PEELER RANCH 12H 28.72943 -98.44755
## 6 1420100152512H PEELER RANCH 2H 28.72848 -98.45589
Converting oper_name into a Factor
unique(dfh$direc_drill_flag)
names(dfh.sub)
dfh.sub[,3] <- lapply(dfh.sub[,3], as.factor)
str(dfh.sub)
levels(dfh.sub$oper_name)
DT is a Javascript interface to display tabular data
Note: ggplot2 is a library for plotting graphs - Static View
Installing library leaflet and raster for mapping well locations
Note: Well name is displayed by clicking on a well symbol