Update styles and R snippet

metadatacenter-attic · Jan 27, 2021 · ee32a28 · ee32a28
1 parent cff08c5
commit ee32a28
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Showing 3 changed files with 21 additions and 14 deletions.
diff --git a/phs-gdc-dashboard/src/components/AppContent.js b/phs-gdc-dashboard/src/components/AppContent.js
@@ -12,7 +12,7 @@ const useStyles = makeStyles((theme) => ({
     flexGrow: 1,
     padding: "4vh",
   },
-  paper: {
+  card: {
     minHeight: "75vh",
     padding: theme.spacing(2),
     textAlign: 'center',
@@ -50,7 +50,7 @@ export default function AppContent() {
     <div className={classes.root}>
       <Grid container spacing={3}>
         <Grid item md={4}>
-          <Card className={classes.paper}>
+          <Card className={classes.card}>
             <Step1
               title={"Select Index Variable"}
               setPhsVariableName={setPhsVariableName}
@@ -64,7 +64,7 @@ export default function AppContent() {
           </Card>
         </Grid>
         <Grid item md={4}>
-          <Card className={classes.paper}>
+          <Card className={classes.card}>
             <Step2 title={"Select Data Commons Variables"}
                    setDcVariableNames={setDcVariableNames}
                    showDcVariableNamesError={showDcVariableNamesError}
@@ -73,7 +73,7 @@ export default function AppContent() {
           </Card>
         </Grid>
         <Grid item md={4}>
-          <Card className={classes.paper}>
+          <Card className={classes.card}>
             <Step3 title={"Export Data"}
                    phsVariableName={phsVariableName}
                    phsVariableValues={phsVariableValues}

diff --git a/r/.DS_Store b/r/.DS_Store
diff --git a/r/snippet-merge-csv/MergeSnippet.R b/r/snippet-merge-csv/MergeSnippet.R
@@ -1,19 +1,26 @@
+
+# Please fill in the following constants according to your folder/file names
+wd <- "~/Desktop/r_wd"
+user_filename <- "user_data.csv"
+dcw_filename <- "dcw_data.csv"
+user_colname = "zip"
+dcw_colname = "zipCode"
+output_filename <- "merged_data.csv"
+
 # Load the 'dplyr' package. If it's not installed, run install.packages("dplyr")
 library(dplyr)
 
-# (Optional) Set your working directory
-setwd("/path_to/your_working_directory")
+# Set working directory
+setwd(wd)
 
-# Read the user's data into a data frame
-df1 <- read.csv("/path_to/your_data_file.csv", header = T)
+# Read the user's data
+df1 <- read.csv(user_filename, header = T)
 
 # Read the downloaded Data Commons CSV file into a new data frame
-df2 <- read.csv("/path_to/dcw_data.csv", header=T)
+df2 <- read.csv(dcw_filename, header=T)
 
 # Merge the two data frames using the appropriate column names
-col1 = "zip"
-col2 = "zipCode"
-merged_df <- left_join(df1, df2, by=setNames(nm=col1, col2))
+merged_df <- left_join(df1, df2, by=setNames(nm=user_colname, dcw_colname))
 
-# (Optional) Export merged data to CSV
-write.csv(merged_df, "/path_to/merged_data.csv", row.names = F)
+# Export merged data to CSV
+write.csv(merged_df, output_filename, row.names = F)