| # startups-datasets-readme | |
| ## *Index designations for startup topics:* | |
| - Theme: Healthcare, ID: 1 | |
| - Theme: Education, ID: 2 | |
| - Theme: Technology, ID: 3 | |
| - Theme: Environment, ID: 4 | |
| - Theme: Finance, ID: 5 | |
| - Theme: Entertainment, ID: 6 | |
| - Theme: Retail, ID: 7 | |
| - Theme: Transportation, ID: 8 | |
| - Theme: Travel, ID: 9 | |
| ## *Index designations for the startup category:* | |
| * Category: Medical, ID: 1 | |
| * Category: EdTech, ID: 2 | |
| * Category: AI, ID: 3 | |
| * Category: GreenTech, ID: 4 | |
| * Category: Property, ID: 5 | |
| * Category: FoodTech, ID: 6 | |
| * Category: TravelTech, ID: 7 | |
| * Category: SpaceTech, ID: 8 | |
| * Category: Biotech, ID: 9 | |
| * Category: EnergyTech, ID: 10 | |
| ## columns | |
| - *start_m* -> the amount of money at the start of the project | |
| - *investments_m* -> investments collected at the time of data collection | |
| - *crowdfunding_m* -> crowdfunding fees collected at the time of data collection | |
| - *team_idx* -> an index used to evaluate the effectiveness of a team | |
| - *tech_idx* -> an index evaluating technological investments | |
| - *comp_idx* -> an index evaluating competitiveness | |
| - *social_idx* -> an index that evaluates the approximate interest among people | |
| - *demand_idx* -> an index estimating the approximate possible demand among the target audience | |