94 lines
2.3 KiB
Python
94 lines
2.3 KiB
Python
import pandas as pd
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csv = pd.read_csv('../data/export_roar_CSV_20230131.csv')
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coverage = {'identifier':0,
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'name' : 0,
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'nameLanguage':0,
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'additionalName':0,
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'additionalNameLanguage':0,
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'repositoryURL':0,
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'repositoryType':0,
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'repositoryDescription':0,
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'repositoryContent':0,
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'recordURI':0,
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'recordCount':0,
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'subject':0,
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'keyword':0,
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'organizationName':0,
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'organizationAcronym':0,
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'organizationNameLanguage':0,
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'organizationCountry':0,
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'organizationLocationLat':0,
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'organizationLocationLong':0,
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'organizationUrl':0,
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'softwareName':0,
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'softwareVersion':0,
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'versioning':0,
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'apiType':0,
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'apiUrl':0,
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'apiDocumentation':0,
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'repository_status':0,
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'startDate':0,
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'lastUpdate':0,
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'policyType':0,
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'policyName':0,
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'policyUrl':0,
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'databaseAccessType':0,
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'databaseAccessRestriction':0,
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'dataUploadType' :0,
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'dataUploadRestriction':0,
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'databaseLicenseName':0,
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'databaseLicenceUrl':0,
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'dataUploadLicenceName':0,
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'dataUploadLicenceUrl':0}
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count = 0
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for value in csv.values:
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if pd.isna(value[1]):
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continue
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count += 1
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#Generality
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if not pd.isna(value[0]):
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coverage['identifier'] += 1
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if not(pd.isna(value[31])):
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coverage['name'] += 1
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if not pd.isna(value[30]):
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coverage['repositoryURL'] +=1
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if not pd.isna(value[10]):
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coverage['repositoryType'] += 1
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if not pd.isna(value[36]):
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coverage['repositoryDescription'] += 1
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if not pd.isna(value[56]):
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coverage['recordCount'] += 1
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#Organization
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if not(pd.isna(value[40])):
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coverage['organizationName'] += 1
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if not pd.isna(value[42]):
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coverage['organizationCountry'] +=1
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if not pd.isna(value[44]):
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coverage['organizationLocationLat'] += 1
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if not pd.isna(value[45]):
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coverage['organizationLocationLong'] += 1
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if not pd.isna(value[41]):
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coverage['organizationUrl'] += 1
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#Content classification
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if not pd.isna(value[49]):
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coverage['subject'] += 1
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#Technical Info
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if not pd.isna(value[46]):
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coverage['softwareName'] += 1
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if not pd.isna(value[48]):
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coverage['softwareVersion'] += 1
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if not pd.isna(value[32]):
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coverage['apiUrl'] += 1
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#Dates and times
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if not pd.isna(value[50]):
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coverage['startDate'] += 1
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if not pd.isna(value[8]):
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coverage['lastUpdate'] += 1
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#Legal aspects
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print(coverage)
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print(count) |