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rename datasets
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ClaudioZandonella committed Feb 13, 2024
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Expand Up @@ -14,7 +14,7 @@ To obtain the processed data used in the analysis, the following data sources we
- Data ERA5 2m temperature was downloaded manually form the website (https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview).

Data have been elaborated as described in *“Deliverable 3.1: Dynamic Building Stock Analysis”*. The code is available in the directory `code/`.
The obtained final dataset used in the analysis is `MODERATE-D3.1-Dataset1.csv`.
The obtained final dataset used in the analysis is `v1.0_Data_T3.1_Dynamicanalysis_EPCclassification.csv`.

### Data Description

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Expand Up @@ -19,7 +19,7 @@ The obtained final dataset used in the analysis is `MODERATE-D3.1-Dataset2_3.csv

## Data Description

`MODERATE-D3.1-Dataset2_3.csv` is the output of the study containing information regarding rooftop photovoltaic presence in Crevillent, Spain. The dataset includes the following columns:
`v1.0_Data_T3.1_Dynamicanalysis_PVanalysis.csv` is the output of the study containing information regarding rooftop photovoltaic presence in Crevillent, Spain. The dataset includes the following columns:

- `id_building`. Factor variable indicating the id number of each detected building.
- `h`. Numerical variable indicating the height [m] of each specific building.
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4 changes: 2 additions & 2 deletions T3.2-static-analysis/README.md
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Expand Up @@ -11,8 +11,8 @@ This activity is part of the Horizon EU project MODERATE (https://moderate-proje
The directory is structured as follow:

- `data /` directory collecting all data
- `HEU MODERATE Building Stock Data_Sources.csv` data in the long format with all details and data source
- `HEU MODERATE Building Stock Data.xlsx` data in the wide format (separate sheet for each country
- `v1.1_Data_T3.2_Staticanalysis_EU27BuildingStock2020_Sources.csv` data in the long format with all details and data source
- `v1.1_Data_T3.2_Staticanalysis_EU27BuildingStock2020.xlsx` data in the wide format (separate sheet for each country

### Columns Abbreviation Legend

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