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added table of data fields
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Signed-off-by: Ahmed Sheta <ahmed.sheta@fau.de>
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@ultiwinter7
ultiwinter7 committed Feb 3, 2024
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Expand Up @@ -39,3 +39,58 @@ This component is used to predict the possible Merchant Size a given lead might
# Data field definitions

This section outlines the data fields obtained for each lead. The data can be sourced from the online Lead Form or be retrieved from the internet using APIs.

| Field Name | Type | Description | Data Source | Dependencies | Validation | Example |
| ------------------------------------------- | ------------------------------ | ----------- | ----------- | ------------ | ---------- | ----------------------- | --- |
| Last Name | | | lead data | | | Mustermann |
| First Name | | | lead data | | | Mustername |
| Company / Account | | | lead data | | | Musterfirma |
| Phone | | | lead data | | | +49123456789 |
| Email | | | lead data | | | musteremail@example.com |
| domain | string | - | - | | | @musterexample.de |
| email_valid | boolean | | | | | True/False |
| first_name_in_account | boolean | | | | | True/False |
| last_name_in_account | boolean | | | | | True/False |
| address_ver_1 | string | | | | | Musterstr.1 |
| number_formatted | string | | | | | +49123456789 |
| number_country | string | | | | | Germany |
| number_area | string | | | | | Erlangen |
| number_valid | boolean | | | | | True/False |
| number_possible | boolean | | | | | True/False |
| google_places_place_id | string | | | | | |
| google_places_business_status | string | | | | | Operational |
| google_places_formatted_address | string | | | | | Musterstr.1 |
| google_places_name | string | | | | | Mustername |
| google_places_user_ratings_total | integer | | | | | 100 |
| google_places_rating | float | | | | | 4.5 |
| google_places_price_level | float | | | | | |
| google_places_candidate_count_mail | integer | | | | | 1 |
| google_places_candidate_count_phone | integer | | | | | 1 |
| google_places_place_id_matches_phone_search | boolean | | | | | True/False |
| google_places_confidence | float | | | | | | 0.9 |
| google_places_detailed_website | string | | | | | www.musterwebsite.de |
| google_places_detailed_type | list | | | | | ["florist","store"] |
| reviews_sentiment_score | float | | | | | 0.9 |
| regional_atlas_pop_density | float | | | | | 0.9 |
| | regional_atlas_pop_development | float | | | | | 0.9 |
| regional_atlas_age_0 | float | | | | | 0.9 |
| regional_atlas_age_1 | float | | | | | 0.9 |
| regional_atlas_age_2 | float | | | | | 0.9 |
| regional_atlas_age_3 | float | | | | | 0.9 |
| regional_atlas_age_4 | float | | | | | 0.9 |
| regional_atlas_pop_avg_age | float | | | | | 0.9 |
| regional_atlas_per_service_sector | float | | | | | 0.9 |
| regional_atlas_per_trade | float | | | | | 0.9 |
| regional_atlas_employment_rate | float | | | | | 0.9 |
| regional_atlas_unemployment_rate | float | | | | | 0.9 |
| regional_atlas_per_long_term_unemployment | float | | | | | 0.9 |
| regional_atlas_investments_p_employee | float | | | | | 0.9 |
| regional_atlas_gross_salary_p_employee | float | | | | | 0.9 |
| regional_atlas_disp_income_p_inhabitant | float | | | | | 0.9 |
| regional_atlas_tot_income_p_taxpayer | float | | | | | 0.9 |
| regional_atlas_gdp_p_employee | float | | | | | 0.9 |
| regional_atlas_gdp_development | float | | | | | 0.9 |
| regional_atlas_gdp_p_inhabitant | float | | | | | 0.9 |
| regional_atlas_gdp_p_workhours | float | | | | | 0.9 |
| regional_atlas_pop_avg_age_zensus | float | | | | | 0.9 |
| regional_atlas_regional_score | float | | | | | 0.9 |

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