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Commit 59f62054 authored by Laura A DeCicco's avatar Laura A DeCicco
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Adding workflow to vignette.

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vignettes/dataRetrieval-concordance.tex
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\Sconcordance{concordance:dataRetrieval.tex:dataRetrieval.Rnw:%
1 49 1 50 0 1 6 11 1 1 5 41 1 10 0 16 1 9 0 21 1 5 0 %
6 1 8 0 14 1 42 0 17 1 3 0 15 1 6 0 16 1 10 0 5 1 8 0 %
20 1 3 0 18 1 1 0 21 1 9 0 20 1 4 0 4 1 18 0 29 1 6 0 %
10 1 10 0 14 1 21 0 19 1 5 0 19 1 5 0 17 1 8 0 14 1 %
15 0 16 1 5 0 9 1 5 0 62 1 6 0 14 1 17 0 36 1 5 0 24 %
1 5 0 20 1 37 0 13 1 10 0 22 1 5 0 5 1 13 0 10 1 5 0 %
7 1 5 0 16 1 51 0 15 1 49 0 7 1 32 0 24 1 18 0 8 1 5 %
0 56 1}
1 49 1 50 0 1 6 11 1 1 5 46 1 113 0 7 1 42 0 21 1 10 %
0 16 1 9 0 21 1 5 0 6 1 8 0 14 1 42 0 17 1 3 0 15 1 6 %
0 16 1 10 0 5 1 8 0 20 1 3 0 18 1 1 0 21 1 9 0 20 1 4 %
0 4 1 18 0 29 1 6 0 10 1 10 0 14 1 21 0 19 1 5 0 19 1 %
5 0 17 1 8 0 14 1 15 0 16 1 5 0 9 1 5 0 62 1 6 0 14 1 %
17 0 36 1 5 0 24 1 5 0 20 1 37 0 13 1 10 0 22 1 5 0 5 %
1 13 0 5 1 5 0 11 1 5 0 7 1 5 0 16 1 51 0 15 1 49 0 7 %
1 32 0 24 1 18 0 8 1 5 0 56 1}
vignettes/dataRetrieval.Rnw
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......@@ -91,6 +91,39 @@ For information on getting started in R and installing the package, see Appendix
%------------------------------------------------------------
In this section, we will run through 5 examples, documenting how to get raw data from the web. This includes site information (\ref{sec:usgsSite}), measured parameter information (\ref{sec:usgsParams}), historical daily values(\ref{sec:usgsDaily}), real-time (unit) values (\ref{sec:usgsRT}), and water quality data (\ref{sec:usgsWQP}) or (\ref{sec:usgsSTORET}). We will use the Choptank River near Greensboro, MD as an example. The site-ID for this gage station is 01491000. Daily discharge measurements are available as far back as 1948. Additionally, forms of nitrate have been measured dating back to 1964. The functions/examples in this section are for raw data retrieval. This may or may not be the easiest data to work with. In the next section, we will use functions that retrieve and process the data in a dataframe that may prove more friendly for R analysis.
\newpage
Quick workflow example:
<<workflow, echo=TRUE,eval=TRUE>>=
library(dataRetrieval)
# Site ID for Choptank River near Greensboro, MD
siteNumber <- "01491000"
ChoptankInfo <- getSiteFileData(siteNumber)
parameterCd <- "00060"
rawDailyData <- retrieveNWISData(siteNumber,parameterCd,
"1980-01-01","2010-01-01")
head(rawDailyData)
Daily <- getDVData(siteNumber,parameterCd,
"1980-01-01","2010-01-01")
head(Daily)
ChoptankInfo <- getSiteFileData(siteNumber)
colnames(ChoptankInfo)
ChoptankAvail <- getDataAvailability(siteNumber)
head(ChoptankAvail)
parameterCd <- "00618" # Nitrate
parameterINFO <- getParameterInfo(parameterCd)
colnames(parameterINFO)
@
\newpage
<<workflow2, echo=TRUE,eval=TRUE>>=
ChoptankAvail <- getDataAvailability(siteNumber)
head(ChoptankAvail)
@
%------------------------------------------------------------
\subsection{Introduction}
%------------------------------------------------------------
......@@ -648,14 +681,20 @@ To see the raw code for a particular code, type the name of the function:
removeDuplicates
@
Additionally, many R packages have vignette files attached (such as this paper). To view the vignette:
<<seeVignette,eval = FALSE>>=
vignette(dataRetrieval)
@
%------------------------------------------------------------
\subsection{R User: Installing dataRetrieval}
%------------------------------------------------------------
Before installing dataRetrieval, the zoo packages must be installed from CRAN:
<<installFromCran,eval = FALSE>>=
install.packages("zoo")
install.packages("dataRetrieval", repos="http://usgs-r.github.com", type="source")
install.packages(c("zoo","XML","RCurl","plyr"))
install.packages("dataRetrieval", repos="http://usgs-r.github.com")
@
It is a good idea to re-start R after installing the package, especially if installing an updated version. Some users have found it necessary to delete the previous version's package folder before installing newer version of dataRetrieval. If you are experiencing issues after updating a package, trying deleting the package folder - the default location for Windows is something like this: C:/Users/userA/Documents/R/win-library/2.15/dataRetrieval, and the default for a Mac: /Users/userA/Library/R/2.15/library/dataRetrieval. Then, re-install the package using the directions above. Moving to CRAN should solve this problem.
......
vignettes/dataRetrieval.log
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......@@ -132,6 +132,194 @@ For information on getting started in R and installing the package, see Appendix
%------------------------------------------------------------
In this section, we will run through 5 examples, documenting how to get raw data from the web. This includes site information (\ref{sec:usgsSite}), measured parameter information (\ref{sec:usgsParams}), historical daily values(\ref{sec:usgsDaily}), real-time (unit) values (\ref{sec:usgsRT}), and water quality data (\ref{sec:usgsWQP}) or (\ref{sec:usgsSTORET}). We will use the Choptank River near Greensboro, MD as an example. The site-ID for this gage station is 01491000. Daily discharge measurements are available as far back as 1948. Additionally, forms of nitrate have been measured dating back to 1964. The functions/examples in this section are for raw data retrieval. This may or may not be the easiest data to work with. In the next section, we will use functions that retrieve and process the data in a dataframe that may prove more friendly for R analysis.
\newpage
Quick workflow example:
\begin{knitrout}
\definecolor{shadecolor}{rgb}{0.969, 0.969, 0.969}\color{fgcolor}\begin{kframe}
\begin{alltt}
\hlkwd{library}\hlstd{(dataRetrieval)}
\hlcom{# Site ID for Choptank River near Greensboro, MD}
\hlstd{siteNumber} \hlkwb{<-} \hlstr{"01491000"}
\hlstd{ChoptankInfo} \hlkwb{<-} \hlkwd{getSiteFileData}\hlstd{(siteNumber)}
\hlstd{parameterCd} \hlkwb{<-} \hlstr{"00060"}
\hlstd{rawDailyData} \hlkwb{<-} \hlkwd{retrieveNWISData}\hlstd{(siteNumber,parameterCd,}
\hlstr{"1980-01-01"}\hlstd{,}\hlstr{"2010-01-01"}\hlstd{)}
\hlkwd{head}\hlstd{(rawDailyData)}
\end{alltt}
\begin{verbatim}
agency_cd site_no datetime X02_00060_00003
1 USGS 01491000 1980-01-01 100
2 USGS 01491000 1980-01-02 96
3 USGS 01491000 1980-01-03 92
4 USGS 01491000 1980-01-04 89
5 USGS 01491000 1980-01-05 91
6 USGS 01491000 1980-01-06 100
X02_00060_00003_cd
1 A
2 A
3 A
4 A
5 A
6 A
\end{verbatim}
\begin{alltt}
\hlstd{Daily} \hlkwb{<-} \hlkwd{getDVData}\hlstd{(siteNumber,parameterCd,}
\hlstr{"1980-01-01"}\hlstd{,}\hlstr{"2010-01-01"}\hlstd{)}
\end{alltt}
\begin{verbatim}
There are 10959 data points, and 10959 days.
\end{verbatim}
\begin{alltt}
\hlkwd{head}\hlstd{(Daily)}
\end{alltt}
\begin{verbatim}
Date Q Julian Month Day DecYear MonthSeq
1 1980-01-01 2.832 47481 1 1 1980 1561
2 1980-01-02 2.718 47482 1 2 1980 1561
3 1980-01-03 2.605 47483 1 3 1980 1561
4 1980-01-04 2.520 47484 1 4 1980 1561
5 1980-01-05 2.577 47485 1 5 1980 1561
6 1980-01-06 2.832 47486 1 6 1980 1561
Qualifier i LogQ Q7 Q30
1 A 1 1.0409 NA NA
2 A 2 1.0000 NA NA
3 A 3 0.9575 NA NA
4 A 4 0.9243 NA NA
5 A 5 0.9466 NA NA
6 A 6 1.0409 NA NA
\end{verbatim}
\begin{alltt}
\hlstd{ChoptankInfo} \hlkwb{<-} \hlkwd{getSiteFileData}\hlstd{(siteNumber)}
\hlkwd{colnames}\hlstd{(ChoptankInfo)}
\end{alltt}
\begin{verbatim}
[1] "agency.cd" "site.no"
[3] "station.nm" "site.tp.cd"
[5] "lat.va" "long.va"
[7] "dec.lat.va" "dec.long.va"
[9] "coord.meth.cd" "coord.acy.cd"
[11] "coord.datum.cd" "dec.coord.datum.cd"
[13] "district.cd" "state.cd"
[15] "county.cd" "country.cd"
[17] "land.net.ds" "map.nm"
[19] "map.scale.fc" "alt.va"
[21] "alt.meth.cd" "alt.acy.va"
[23] "alt.datum.cd" "huc.cd"
[25] "basin.cd" "topo.cd"
[27] "instruments.cd" "construction.dt"
[29] "inventory.dt" "drain.area.va"
[31] "contrib.drain.area.va" "tz.cd"
[33] "local.time.fg" "reliability.cd"
[35] "gw.file.cd" "nat.aqfr.cd"
[37] "aqfr.cd" "aqfr.type.cd"
[39] "well.depth.va" "hole.depth.va"
[41] "depth.src.cd" "project.no"
[43] "queryTime"
\end{verbatim}
\begin{alltt}
\hlstd{ChoptankAvail} \hlkwb{<-} \hlkwd{getDataAvailability}\hlstd{(siteNumber)}
\hlkwd{head}\hlstd{(ChoptankAvail)}
\end{alltt}
\begin{verbatim}
parameter_cd statCd startDate endDate count service
1 00001 1974-11-04 1984-08-01 109 qw
2 00004 2013-03-27 2013-03-27 1 qw
3 00008 1972-10-24 1973-12-26 12 qw
4 00009 1974-03-22 1974-03-22 1 qw
5 00010 00001 1988-10-01 2012-05-09 894 dv
6 00010 00002 2010-10-01 2012-05-09 529 dv
parameter_group_nm
1 Information
2 Physical
3 Information
4 Information
5 Physical
6 Physical
parameter_nm
1 Location in cross section, distance from right bank looking upstream, feet
2 Stream width, feet
3 Sample accounting number
4 Location in cross section, distance from left bank looking downstream, feet
5 Temperature, water, degrees Celsius
6 Temperature, water, degrees Celsius
casrn srsname
1
2 Instream features, est. stream width
3
4
5 Temperature, water
6 Temperature, water
parameter_units
1 ft
2 ft
3 nu
4 ft
5 deg C
6 deg C
\end{verbatim}
\begin{alltt}
\hlstd{parameterCd} \hlkwb{<-} \hlstr{"00618"} \hlcom{# Nitrate}
\hlstd{parameterINFO} \hlkwb{<-} \hlkwd{getParameterInfo}\hlstd{(parameterCd)}
\hlkwd{colnames}\hlstd{(parameterINFO)}
\end{alltt}
\begin{verbatim}
[1] "parameter_cd" "parameter_group_nm"
[3] "parameter_nm" "casrn"
[5] "srsname" "parameter_units"
\end{verbatim}
\end{kframe}
\end{knitrout}
\newpage
\begin{knitrout}
\definecolor{shadecolor}{rgb}{0.969, 0.969, 0.969}\color{fgcolor}\begin{kframe}
\begin{alltt}
\hlstd{ChoptankAvail} \hlkwb{<-} \hlkwd{getDataAvailability}\hlstd{(siteNumber)}
\hlkwd{head}\hlstd{(ChoptankAvail)}
\end{alltt}
\begin{verbatim}
parameter_cd statCd startDate endDate count service
1 00001 1974-11-04 1984-08-01 109 qw
2 00004 2013-03-27 2013-03-27 1 qw
3 00008 1972-10-24 1973-12-26 12 qw
4 00009 1974-03-22 1974-03-22 1 qw
5 00010 00001 1988-10-01 2012-05-09 894 dv
6 00010 00002 2010-10-01 2012-05-09 529 dv
parameter_group_nm
1 Information
2 Physical
3 Information
4 Information
5 Physical
6 Physical
parameter_nm
1 Location in cross section, distance from right bank looking upstream, feet
2 Stream width, feet
3 Sample accounting number
4 Location in cross section, distance from left bank looking downstream, feet
5 Temperature, water, degrees Celsius
6 Temperature, water, degrees Celsius
casrn srsname
1
2 Instream features, est. stream width
3
4
5 Temperature, water
6 Temperature, water
parameter_units
1 ft
2 ft
3 nu
4 ft
5 deg C
6 deg C
\end{verbatim}
\end{kframe}
\end{knitrout}
%------------------------------------------------------------
\subsection{Introduction}
%------------------------------------------------------------
......@@ -143,7 +331,7 @@ Not every station will measure all parameters. A short list of commonly measured
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:53:33 2013
% Fri Sep 13 16:57:38 2013
\begin{table}[ht]
\centering
\begin{tabular}{rll}
......@@ -169,7 +357,7 @@ For real-time data, the parameter code and site ID will suffice. For most varia
Some common stat codes are shown in Table \ref{tab:stat}.
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:53:33 2013
% Fri Sep 13 16:57:38 2013
\begin{table}[ht]
\centering
\begin{tabular}{rll}
......@@ -305,7 +493,7 @@ It is also possible to only request parameter information for a subset of variab
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:53:38 2013
% Fri Sep 13 16:57:40 2013
\begin{table}[ht]
\centering
\begin{tabular}{rlllll}
......@@ -313,7 +501,7 @@ It is also possible to only request parameter information for a subset of variab
& shortName & Start & End & Count & Units \\
\hline
1 & Temperature, water & 2010-10-01 & 2012-05-09 & 529 & deg C \\
2 & Stream flow, mean. daily & 1948-01-01 & 2013-09-03 & 23988 & ft3/s \\
2 & Stream flow, mean. daily & 1948-01-01 & 2013-09-12 & 23997 & ft3/s \\
3 & Specific conductance & 2010-10-01 & 2012-05-09 & 527 & uS/cm @25C \\
4 & Suspended sediment concentration (SSC) & 1980-10-01 & 1991-09-30 & 3651 & mg/l \\
5 & Suspended sediment discharge & 1980-10-01 & 1991-09-30 & 3652 & tons/day \\
......@@ -648,7 +836,7 @@ There are 4750 data points, and 4750 days.
Details of the Daily dataframe are listed below:
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:53:59 2013
% Fri Sep 13 16:57:53 2013
\begin{table}[ht]
\centering
\begin{tabular}{rllll}
......@@ -757,7 +945,7 @@ As an example to understand how the dataRetrieval package handles a more complex
\begin{center}
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:54:01 2013
% Fri Sep 13 16:57:54 2013
\begin{table}[ht]
\centering
\begin{tabular}{rllrlrlr}
......@@ -1003,6 +1191,17 @@ function(localSample=Sample) {
\end{knitrout}
Additionally, many R packages have vignette files attached (such as this paper). To view the vignette:
\begin{knitrout}
\definecolor{shadecolor}{rgb}{0.969, 0.969, 0.969}\color{fgcolor}\begin{kframe}
\begin{alltt}
\hlkwd{vignette}\hlstd{(dataRetrieval)}
\end{alltt}
\end{kframe}
\end{knitrout}
%------------------------------------------------------------
\subsection{R User: Installing dataRetrieval}
%------------------------------------------------------------
......@@ -1011,8 +1210,8 @@ Before installing dataRetrieval, the zoo packages must be installed from CRAN:
\begin{knitrout}
\definecolor{shadecolor}{rgb}{0.969, 0.969, 0.969}\color{fgcolor}\begin{kframe}
\begin{alltt}
\hlkwd{install.packages}\hlstd{(}\hlstr{"zoo"}\hlstd{)}
\hlkwd{install.packages}\hlstd{(}\hlstr{"dataRetrieval"}\hlstd{,} \hlkwc{repos}\hlstd{=}\hlstr{"http://usgs-r.github.com"}\hlstd{,} \hlkwc{type}\hlstd{=}\hlstr{"source"}\hlstd{)}
\hlkwd{install.packages}\hlstd{(}\hlkwd{c}\hlstd{(}\hlstr{"zoo"}\hlstd{,}\hlstr{"XML"}\hlstd{,}\hlstr{"RCurl"}\hlstd{,}\hlstr{"plyr"}\hlstd{))}
\hlkwd{install.packages}\hlstd{(}\hlstr{"dataRetrieval"}\hlstd{,} \hlkwc{repos}\hlstd{=}\hlstr{"http://usgs-r.github.com"}\hlstd{)}
\end{alltt}
\end{kframe}
\end{knitrout}
......@@ -1041,7 +1240,7 @@ After installing the package, you need to open the library each time you re-star
%------------------------------------------------------------
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:54:04 2013
% Fri Sep 13 16:57:57 2013
\begin{table}[ht]
\centering
\begin{tabular}{rl}
......@@ -1107,7 +1306,7 @@ After installing the package, you need to open the library each time you re-star
There are 62 columns returned from the water quality portal.
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:54:04 2013
% Fri Sep 13 16:57:57 2013
\begin{table}[ht]
\centering
\begin{tabular}{rl}
......@@ -1164,7 +1363,7 @@ There are 62 columns returned from the water quality portal.
\FloatBarrier
% latex table generated in R 3.0.1 by xtable 1.7-1 package
% Wed Sep 04 12:54:04 2013
% Fri Sep 13 16:57:57 2013
\begin{table}[ht]
\centering
\begin{tabular}{rl}
......@@ -1233,7 +1432,7 @@ There are a few steps that are required in order to create a table in a Microsof
5 Suspended sediment discharge 1980-10-01
End Count Units
1 2012-05-09 529 deg C
2 2013-09-03 23988 ft3/s
2 2013-09-12 23997 ft3/s
3 2012-05-09 527 uS/cm @25C
4 1991-09-30 3651 mg/l
5 1991-09-30 3652 tons/day
......
vignettes/dataRetrieval.toc
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\select@language {american}
\contentsline {section}{\numberline {1}Introduction to dataRetrieval}{2}{section.1}
\contentsline {section}{\numberline {2}General USGS Web Retrievals}{3}{section.2}
\contentsline {subsection}{\numberline {2.1}Introduction}{3}{subsection.2.1}
\contentsline {subsection}{\numberline {2.2}Site Information}{4}{subsection.2.2}
\contentsline {subsubsection}{\numberline {2.2.1}getSiteFileData}{4}{subsubsection.2.2.1}
\contentsline {subsubsection}{\numberline {2.2.2}getDataAvailability}{4}{subsubsection.2.2.2}
\contentsline {subsection}{\numberline {2.3}Parameter Information}{6}{subsection.2.3}
\contentsline {subsection}{\numberline {2.4}Daily Values}{7}{subsection.2.4}
\contentsline {subsection}{\numberline {2.5}Unit Values}{10}{subsection.2.5}
\contentsline {subsection}{\numberline {2.6}Water Quality Values}{11}{subsection.2.6}
\contentsline {subsection}{\numberline {2.7}STORET Water Quality Retrievals}{13}{subsection.2.7}
\contentsline {subsection}{\numberline {2.8}URL Construction}{13}{subsection.2.8}
\contentsline {section}{\numberline {3}Data Retrievals Structured For Use In The EGRET Package}{14}{section.3}
\contentsline {subsection}{\numberline {3.1}INFO Data}{14}{subsection.3.1}
\contentsline {subsection}{\numberline {3.2}Daily Data}{14}{subsection.3.2}
\contentsline {subsection}{\numberline {3.3}Sample Data}{15}{subsection.3.3}
\contentsline {subsection}{\numberline {3.4}Censored Values: Summation Explanation}{17}{subsection.3.4}
\contentsline {subsection}{\numberline {3.5}User-Generated Data Files}{18}{subsection.3.5}
\contentsline {subsubsection}{\numberline {3.5.1}getDailyDataFromFile}{18}{subsubsection.3.5.1}
\contentsline {subsubsection}{\numberline {3.5.2}getSampleDataFromFile}{19}{subsubsection.3.5.2}
\contentsline {subsection}{\numberline {3.6}Merge Report}{20}{subsection.3.6}
\contentsline {subsection}{\numberline {3.7}EGRET Plots}{21}{subsection.3.7}
\contentsline {section}{\numberline {A}Getting Started in R}{23}{appendix.A}
\contentsline {subsection}{\numberline {A.1}New to R?}{23}{subsection.A.1}
\contentsline {subsection}{\numberline {A.2}R User: Installing dataRetrieval}{23}{subsection.A.2}
\contentsline {section}{\numberline {B}Columns Names}{24}{appendix.B}
\contentsline {subsection}{\numberline {B.1}INFO dataframe}{24}{subsection.B.1}
\contentsline {subsection}{\numberline {B.2}Water Quality Portal}{26}{subsection.B.2}
\contentsline {section}{\numberline {C}Creating tables in Microsoft from R}{29}{appendix.C}
\contentsline {subsection}{\numberline {2.1}Introduction}{8}{subsection.2.1}
\contentsline {subsection}{\numberline {2.2}Site Information}{9}{subsection.2.2}
\contentsline {subsubsection}{\numberline {2.2.1}getSiteFileData}{9}{subsubsection.2.2.1}
\contentsline {subsubsection}{\numberline {2.2.2}getDataAvailability}{9}{subsubsection.2.2.2}
\contentsline {subsection}{\numberline {2.3}Parameter Information}{11}{subsection.2.3}
\contentsline {subsection}{\numberline {2.4}Daily Values}{11}{subsection.2.4}
\contentsline {subsection}{\numberline {2.5}Unit Values}{14}{subsection.2.5}
\contentsline {subsection}{\numberline {2.6}Water Quality Values}{15}{subsection.2.6}
\contentsline {subsection}{\numberline {2.7}STORET Water Quality Retrievals}{17}{subsection.2.7}
\contentsline {subsection}{\numberline {2.8}URL Construction}{17}{subsection.2.8}
\contentsline {section}{\numberline {3}Data Retrievals Structured For Use In The EGRET Package}{18}{section.3}
\contentsline {subsection}{\numberline {3.1}INFO Data}{18}{subsection.3.1}
\contentsline {subsection}{\numberline {3.2}Daily Data}{18}{subsection.3.2}
\contentsline {subsection}{\numberline {3.3}Sample Data}{19}{subsection.3.3}
\contentsline {subsection}{\numberline {3.4}Censored Values: Summation Explanation}{21}{subsection.3.4}
\contentsline {subsection}{\numberline {3.5}User-Generated Data Files}{22}{subsection.3.5}
\contentsline {subsubsection}{\numberline {3.5.1}getDailyDataFromFile}{22}{subsubsection.3.5.1}
\contentsline {subsubsection}{\numberline {3.5.2}getSampleDataFromFile}{23}{subsubsection.3.5.2}
\contentsline {subsection}{\numberline {3.6}Merge Report}{24}{subsection.3.6}
\contentsline {subsection}{\numberline {3.7}EGRET Plots}{25}{subsection.3.7}
\contentsline {section}{\numberline {A}Getting Started in R}{27}{appendix.A}
\contentsline {subsection}{\numberline {A.1}New to R?}{27}{subsection.A.1}
\contentsline {subsection}{\numberline {A.2}R User: Installing dataRetrieval}{27}{subsection.A.2}
\contentsline {section}{\numberline {B}Columns Names}{28}{appendix.B}
\contentsline {subsection}{\numberline {B.1}INFO dataframe}{28}{subsection.B.1}
\contentsline {subsection}{\numberline {B.2}Water Quality Portal}{30}{subsection.B.2}
\contentsline {section}{\numberline {C}Creating tables in Microsoft from R}{33}{appendix.C}
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