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unhcr · Jun 23, 2019 · e6efb08 · e6efb08
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,6  1,6 @@
 Package: koboloadeR
 Type: Package
-Title: Survey Data Crunching
 Title: A metapackage for Survey Data Crunching
 Version: 0.1.6
 Authors@R: c(person("Edouard", "Legoupil", role = c("aut", "cre"),  email = "[email protected]"),
               person("Maher", "Daoud", role = "aut", email = "[email protected]"),

diff --git a/README.md b/README.md
@@ -19,7  19,7 @@ This package first builds on the capacity of UNHCR Kobo server @ http://kobo.unh
 
 The package comes as a companion tool to the [Integrated Framework for Household Survey](https://unhcr.github.io/Integrated-framework-household-survey).
 
-koboloadeR aims at helping [humanitarian data analysts](https://humanitarian-user-group.github.io/) to save time by quickly generating graphs and charts needed to discover insights from a dataset and ensure analysis __reproducibility__ through a separation of the analysis configuration and the analysis process. The package allows to account for sample weights and hierachical dataset structure (both capacities that are not available through the defaults reporting engine or the [excel-analyzer](http://support.kobotoolbox.org/articles/592387-using-the-excel-analyzer)).
 koboloadeR aims at helping [humanitarian data analysts](https://humanitarian-user-group.github.io/) to save time by quickly generating graphs and charts needed to discover insights from a dataset and ensure analysis __reproducibility__ through a separation of the analysis configuration and the analysis process. The package allows to account for sample weights and hierachical dataset structure (both capacities that are not available through the default [reporting engine](http://support.kobotoolbox.org/articles/2847676-viewing-and-creating-custom-reports) or the [excel-analyzer](http://support.kobotoolbox.org/articles/592387-using-the-excel-analyzer)). This metapackage brings together a series of specialised packages in an organised data analysis workflow.
 
 ## Approach
 

diff --git a/docs/articles/Getting_data.html b/docs/articles/Getting_data.html
diff --git a/docs/index.html b/docs/index.html
diff --git a/docs/reference/format_si.html b/docs/reference/format_si.html
diff --git a/vignettes/Getting_data.Rmd b/vignettes/Getting_data.Rmd
@@ -18,7  18,7 @@ The package is using only `csv` files. this is to avoid the limitations linked t
 
 
 
-## Case 1: You have only the data but not the orginal xslform
 ## Case 1: You have only the data but not the original xslform
 
 In case, you have simple dataframe, you may load your data in R and then use the function `kobo_to_xlsform()`
 
@@ -30,7  30,7 @@ kobo_to_xlsform(MainDataFrame)
 
 Note that this function will expect the dataframe headers contains variable names (not labels).
 
-The function will build an xslform file and save it under the data folder. You can then manually edit this file ofr instance to add the label for your questions.
 The function will build an xslform file and save it under the data folder. You can then _manually_ edit this file for instance to add the label for your questions.