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How to use this application step-by-step?

Step 1 – Selection of source of input data and import data

During the first step of the application, the user will have to choose the main source of data for his analysis. The options offered are: a) importing an .xls file or b) generating a new table (Fig. 1a).

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Figure 1a: Step 1 – Selection of source of input data

1. Import of an .xls file

   One solution is to use xls data generated from the Regional Assets Mapping application. A screenshot from this application is presented below indicating the way for extracting the data (Fig. 1b).

   

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   Figure 1b: Step 1 – Screenshot from the Regional Assets Mapping application during the creation of the input data for Benchmarking Filters for searching

   After the selection of regions and the variable to be benchmarked, the user has to download the data in an .xlsx format (Fig. 1c).

   

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   Figure 1c: Step 1 – Screenshot from the Regional Assets Mapping application during the creation of the input data for Benchmarking –Final table results after searching

   In the Benchmarking app, the user will have to press the Browse button to locate a file to upload. The data will then be shown in table format (Fig. 1d).

   

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   Figure 1d: Step 1 –Import data from .xls file

   The user is able to clear or edit the imported data of the table by using a specific editing screen. It is necessary to set a reference region, which will be in the spotlight of the benchmarking exercise (by pressing the Set Reference button that appears when hovering over each region). The application also gives the user the opportunity to deselect specific regions that he wants to exclude from his benchmarking analysis. Finally, the user can select the types of output he wants to investigate and press the ‘Run’ to obtain the results. (Fig. 1e).

   

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   Figure 1e: Step 1 – Set reference region and group

2. create a new table: the user will have to first define the table size (number of rows and columns) and then complete the data to be included in the table (Fig. 1f).
   

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   Figure 1f: Step 1 – Create new table

Step 2 – Results of the analysis

In the second step of the application, the user will be able to see the selected indicators for the benchmarking exercise (Fig. 2a-d). The results are grouped into three categories:

1. Descriptive statistics: this section includes information referring to the selected group of regions regarding the min, max and average values, as well as the differences between these values and the reference region.
   

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   Figure 2a: Step 2 – Descriptive statistics

   An additional functionality of the application offers the opportunity to export these data in an excel format or CSV format. This can be done by pressing the Download Image button at the end of the table (Fig. 2b). The pop-up window gives the user the opportunity to open the file or save it in his/her computer.

   

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   Figure 2b: Pop-up window for downloading the data in a table format

2. Quartile statistics: this section includes information referring to the selected group of regions regarding the quartile distribution of the selected variables. First, the quartile values of the distribution are given, and subsequently the corresponding quartile ratios are also calculated. This information is essential, as it provides useful insights regarding the inequality that might exist within the selected group of regions that are investigated in each case. It moves one step further from the descriptive analysis.
   

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   Figure 2c: Step 2 – Quartile statistics

   Moreover, the results referring to quartile analysis are also presented in a table format, including all grouped regions (Fig. 6d). As it can be seen, different quartiles are indicated with different colours in this table, which can be exported as an image (.png) by pressing the Download Image button at the bottom of the graph.

   

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   Figure 2d: Step 2 – Quartile statistics in table format

Step 3 – Kernel diagram

The third step of the application offers the opportunity to visualise the distribution of the selected group of regions on a Kernel diagram (Fig. 7a). The reference region is highlighted in this case, in order to ease the benchmarking process. As previously, it is possible to export the diagram in an image format (.png) by pressing the Download Image button at the bottom of the graph.


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Figure 3a: Step 3 Selection of the appropriate visualisation mode for the data

Step 4: Export of final benchmarking report

In the last section of the tool, the user can write his comments related to the benchmarking exercise to be included in his final report (Fig. 4a).


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Figure 4a: Step 4 – Include user comments

By pressing the Export Data button located in the right menu, the user can export his input data to an .xlsx file in order to keep the changes he may have made. Moreover, the app gives the user the opportunity to export his benchmarking exercise to a .doc report. The generated file contains the input data and the output results if included in the list of preferred output types. A case study example and test data are also available to help the user to better understand the tool before beginning his own exercise. Test data must be downloaded locally and then uploaded in the Upload data section (Fig. 4b).


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Figure 4b: Step 4 Menu options & export report data