DATA VISUALIZATION IN ENERGY INDUSTRY SELF EVALUATION
Data Visualization in Energy Industry Quiz
Test your knowledge in the field of data visualization specifically tailored for the energy industry. This quiz is designed to evaluate your learning and provide insights into your understanding of data visualization concepts, techniques, and applications.
Key features:
- 10 engaging questions covering various aspects of data visualization
- Immediate feedback on your performance
- Opportunity to earn a certificate upon passing
This is an exam to evaluate your learning in course Data Visualization in Energy Industry. You need to get at least 70% / 21 point to get a certificate. The certificate will be sent directly if your point/score meets the passing grade. If you do not pass, do not be discouraged, you can re-learn and try your best to retake the exam. You will be able to pass it. Good luck!
**Please input the same email as your JIWA System email, unless we can not send you the certificate.
This is an exam to evaluate your learning in course Data Visualization in Energy Industry. You need to get at least 70% / 21 point to get a certificate. The certificate will be sent directly if your point/score meets the passing grade. If you do not pass, do not be discouraged, you can re-learn and try your best to retake the exam. You will be able to pass it. Good luck!
**Please input the same email as your JIWA System email, unless we can not send you the certificate.
1. Apa yang dimaksud dengan visualisasi data?
Ilmu yang mempelajari pengolahan data
Ilmu yang mempelajari transformasi data ke dalam bentuk visual
Ilmu yang mempelajari analisis data untuk dipahami trend, pattern, atau informasi statistik lainnya
Ilmu yang mempelajari bagaimana data diperoleh
2. Manakah kelompok berikut yang termasuk tipe dataset?
Tabular, Ordinary, Nominal
Tabular, Nominal, Spatial
Tabular, Network, Spatial
Tabular, Network, Nominal
3. Yang tidak termasuk data kualitatif nominal adalah...
Small, Medium, Large
Hijau, Merah, Ungu
Pengacara, Dokter, Insinyur
Kucing, Ular, Harimau
4. Yang tidak termasuk data kuantitatif diskrit adalah...
A. Jumlah geothermal power plant di Indonesia
B. Jumlah rata-rata kapasitas panas bumi di tahun 2019
C. Besarnya suhu terhadap kedalaman di suatu sumur
B & C benar
A, B, C benar
5. Berikut skema pewarnaan yang disarankan apabila kita ingin meng-highlight informasi tertentu pada data adalah …
Complementary color
Analogous color
Monochrome color
Colorful color
6. Insight yang didapatkan ketika melakukan plot informasi temperatur terhadap kedalaman seperti gambar di atas adalah (select all that apply) …
Tiap sumur memiliki kedalaman isothermal yang sama
Kondisi isothermal akan terhenti pada kedalaman tertentu di setiap sumurnya
Penggunaan warna yang berbeda menujukkan kategori sumur yang berbeda
Sumur PPL-04ST memiliki kedalaman isothermal sekitar 1150 masl
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