⛳Deskriptif Masalah
Private companies with a valuation over $1 billion as of March 2022, including each company's current valuation, funding, country of origin, industry, select investors, and the years they were founded and became unicorns.
📌Tujuan:
membuat model regresi yang dapat memprediksi harga penjualan rumah berdasarkan variabel yang ada
📒 Data:
Unicorn Companies
Company | Valuation | Date Joined | Industry | City | Country | Continent | Year Founded | Funding | Select Investors |
---|---|---|---|---|---|---|---|---|---|
Bytedance | $180B | 7/04/2017 | Artificial intelligence | Beijing | China | Asia | 2012 | $8B | Sequoia Capital China, SIG Asia Investments, Sina Weibo, Softbank Group |
SpaceX | $100B | 1/12/2012 | Other | Hawthorne | United States | North America | 2002 | $7B | Founders Fund, Draper Fisher Jurvetson, Rothenberg Ventures |
SHEIN | $100B | 3/07/2018 | E-commerce & direct-to-consumer | Shenzhen | China | Asia | 2008 | $2B | Tiger Global Management, Sequoia Capital China, Shunwei Capital Partners |
Stripe | $95B | 23/01/2014 | Fintech | San Francisco | United States | North America | 2010 | $2B | Khosla Ventures, LowercaseCapital, capitalG |
Klarna | $46B | 12/12/2011 | Fintech | Stockholm | Sweden | Europe | 2005 | $4B | Institutional Venture Partners, Sequoia Capital, General Atlantic |
📒 Variabel:
data yang didapatkan merupakan data yang memiliki informasi harga-harga penjualan rumah pada tahun-tahun sebelumnya. data ini memiliki data numerik dan data kategorikal dengan variabel-variabelnya,
Company
: nama perusahaan yang telah terdaftar menjadi unicornValuation
: nilai asset perusahaanDate Joined
: tanggal perusahaan terdaftar menjadi unicornIndustry
: industri perusahaanCity
: kota asal perusahaanCountry
: negara asal perusahaanContinent
: benua asal perusahaanYear Founded
: tahun didirikannya perusahaanFunding
: jumlah modal perusahaanSelect Investors
: investor yang menanamkan modal kepada perusahaanYear Joined
: tahun perusahaan menjadi unicornroi
: return of Investment (profitabilitas) perusahaanrange
: selisih modal dan nilai asset perusahaanroi_category
: kategori selisih modal dan nilai asset perusahaan (100% profitable, unprovitable)year category
: kategori selisih tahun perusahaan berdiri dan menjadi unicorn (less than 5 years, more than 5 years)
📒 Langkah Analisis:
✅ Exploratory Data Analysis (EDA):
- Melakukan pengecekan apakah terdapat missing data, duplicate data, dan error data
- Mengambil tahun pada kolom
date joined
dan mengubahnya menjai kolomyear joined
- Menghitung selisih tahun didirikannya perusahaan dengan ditetapkannya menjadi unicorn dengan cara mengurangi kolom
year founded
denganyear joined
- Menghitung ROI atau Return of Investment dengan cara:
valuation
-funding
/funding
- Membuat kolom baru yang berisi kategori ROI yang terbagi menjadi perusahaan telah 100% profitable dan unprofitable
- Membuat kolom baru yang berisi kategori tahun yang terbagi menjadi less than 5 years dan more than 5 years
📒 Summary
✅Valuation Trends: Track the valuation trends of different unicorn companies over time. Highlight the companies that have experienced significant valuation increases or decreases.
✅Industry Distribution: Visualize the distribution of unicorn companies across different industries. Identify which industries have the highest concentration of unicorns.
✅Geographic Distribution: Display the geographic distribution of unicorn companies. Highlight regions or countries with a high number of unicorns.
✅Funding Rounds: Show the number of funding rounds each unicorn company has gone through. Compare the funding rounds' amounts and growth trajectories.
✅Valuation vs. Funding: Analyze the relationship between valuation and funding amounts. Determine if higher funding rounds correspond to higher valuations.
✅Unicorn Birth Year: Display a timeline of when each unicorn company was founded. Identify patterns or trends in the birth years of these companies.
✅Revenue Growth: Showcase the revenue growth of selected unicorn companies. Highlight companies that have achieved substantial revenue increases.
✅User Metrics: If applicable, present user growth metrics, such as active users, registered users, or monthly active users. Identify companies with remarkable user adoption rates.
✅Profitability Status: Highlight whether unicorn companies are profitable or still in the growth phase. This could help investors understand the risk profile of these companies.
✅Exit Strategies: Provide insights into potential exit strategies such as IPOs or acquisitions. Show which companies have taken steps toward these strategies.
✅Leadership Changes: Track changes in executive leadership within unicorn companies. Highlight shifts that could impact company performance.
✅Competitor Analysis: Compare unicorn companies within the same industry. Analyze their valuations, revenue, funding, and growth rates side by side.
✅Market Share: If applicable, showcase the market share of unicorn companies in their respective industries. Identify market leaders and emerging players.
✅Investor Landscape: Visualize the list of investors for each unicorn company. Identify common investors among different unicorns.
✅Employee Growth: Display the growth in the number of employees in unicorn companies. Highlight companies experiencing rapid workforce expansion.
✅Economic Impact: Explore the economic impact of unicorn companies in terms of job creation, innovation, and industry disruption.
📊Dataset by Maven Analytics
https://www.mavenanalytics.io/data-playground?accessType=open&order=fields.numberOfRecords
📊ROI formula