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IntelCompH2020 / sti-viewer

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Agrifood-EU-Regulations-1 #12

Open igrypari opened 9 months ago

igrypari commented 9 months ago

I would like to request additions to the Agrifood-EU report, in the tab “Regulations”.

The user flow that leads to the report is the following:

Browse topics for Climate > EU > select category "Agrifood" > Overview

Tab Name: Regulations

Number Indicators Number of regulations (I44, sv00)

Charts

Chart Group 1: Regulatory Trends

Chart 1: Title: Regulations Over Time Description: This graph shows the evolution in the number of regulations related to the Agrifood sector in the EU over time. Using AI-driven string matching algorithms, 'Agriculture and Fisheries' regulations were extracted from EUR-Lex's in-force metadata. Machine learning techniques further refined the dataset. Data Source: EUR-Lex Type: area chart Indicator: I44, sv 01 xAxisName: year yAxisName: number of regulations xColumnField: key yColumnField: value GroupingByField:

Chart Group 2: Regulatory Classifications

Chart 1:

Title: Regulations by Type Description: A distribution of regulations categorized by their type. Using AI-driven string matching algorithms, 'Agriculture and Fisheries' regulations were extracted from EUR-Lex's in-force metadata. Machine learning techniques further refined the dataset. Data Source: EUR-Lex Type: donut Indicator: I44, SV19 xAxisName: Type of Regulation yAxisName: number of regulations xColumnField: key (Type) yColumnField: value (Count) GroupingByField: N/A

Chart Group 3: Organisational Focus

Chart 1: Title: Regulations by Organisation (Top 100) Description: This graph showcases the contribution of different organizations towards regulatory developments (listed as authors of regulations). Using AI-driven string matching algorithms, 'Agriculture and Fisheries' regulations were extracted from EUR-Lex's in-force metadata. Machine learning techniques further refined the dataset. Data Source: EUR-Lex Type: column with interactive axis pre-selected at top 20 Indicator: I44, sv06 xAxisName: organisation yAxisName: number of regulations xColumnField: key yColumnField: value GroupingByField: N/A

Chart Group 4: Regulatory Topics and Categories

Chart 1: Title: Distribution of Regulations by Topic Description: A comprehensive distribution showcasing the number of regulations across various (eurovoc) topics. Using AI-driven string matching algorithms, 'Agriculture and Fisheries' regulations were extracted from EUR-Lex's in-force metadata. Machine learning techniques further refined the dataset. Data Source: EUR-Lex Type: bar with interactive axis and multiple colors Indicator: I44, SV02 xAxisName: Topic yAxisName: Count xColumnField: key yColumnField: value GroupingByField:

Chart 2: Title: Distribution of Regulations by Category Description: This graph presents the number of regulations by their category (subject matter). Using AI-driven string matching algorithms, 'Agriculture and Fisheries' regulations were extracted from EUR-Lex's in-force metadata. Machine learning techniques further refined the dataset. Data Source: EUR-Lex Type: nightingale chart Indicator: I44, SV03 xAxisName: category yAxisName: number of regulations xColumnField: key yColumnField: value GroupingByField:

dtziotzios commented 7 months ago

Requested changes are deployed.