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## 0.1	Background
The massive amounts of data from sensors, which is usually recorded in a high 
temporal resolution (up to every second) is challenging for data processing and 
visualisation. Especially if standard tools like MS EXCEL are used, which are 
not well suited for such tasks to data import restrictions (e.g. rows per 
spreadsheet limited to maximum 1 million rows in MS EXCEL 2010) or missing 
built-in features for data aggregation (e.g. calculating one hour median values 
from the raw data).  
In addition operational data often needs to be combined with analytical data 
(usually with a temporal resolution of days to weeks) for example in order to 
(1) assess the impact of the plant’s operation scheme (e.g. flow rate) on its 
performance for reducing specific substances or for (2) calculating substance 
loads (by multiplying substance concentrations with flow rates)

Within the AQUANES project – in order to address the above challenges for small 
companies or wa-ter operators – a data visualization and reporting tool was 
developed with the software R (www.r-project.org), which enables the user to: 
-	Explore online and offline data at different temporal aggregation levels 
(e.g. raw data or 10 minutes median values)  
-	Create automated reports not only including the raw (online/offline) data 
but also with more advanced calculations combining different online and/or 
offline data (e.g. specific en-ergy demand) 

In a first step, the R reporting tool was implemented and tested for the 
AQUANES site Haridwar, which is described in this report. 

## 0.2	Objective
The objective of this report is to document the following four processes for 
the R reporting tool:

-	[Installation](A1_installation.html)

- [App start](A2_app_start.html)

-	[GUI (Graphical User Interface)](A3_0_gui_overview.html) 

-	[Modification](A4_modify.html) 


**Note:**
This report is based on version 0.4.0 of the R package “aquanes.report”, which 
is available for download at [Zenodo](http://doi.org/10.5281/zenodo.825030) or 
[Github](https://github.com/KWB-R/aquanes.report/tree/v.0.4.0) and released 
using the open-source [MIT licence](https://opensource.org/licenses/MIT).
