| \n", + " | Job Title | \n", + "Salary Estimate | \n", + "Job Description | \n", + "Rating | \n", + "Company Name | \n", + "Location | \n", + "Headquarters | \n", + "Size | \n", + "Founded | \n", + "Type of ownership | \n", + "... | \n", + "job_state | \n", + "same_state | \n", + "age | \n", + "python_yn | \n", + "R_yn | \n", + "spark | \n", + "aws | \n", + "excel | \n", + "sql | \n", + "tableau | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "Data Scientist | \n", + "$53K-$91K (Glassdoor est.) | \n", + "Data Scientist\\nLocation: Albuquerque, NM\\nEdu... | \n", + "3.8 | \n", + "Tecolote Research\\n3.8 | \n", + "Albuquerque, NM | \n", + "Goleta, CA | \n", + "501 to 1000 employees | \n", + "1973 | \n", + "Company - Private | \n", + "... | \n", + "NM | \n", + "0 | \n", + "47 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "0 | \n", + "1 | \n", + "
| 1 | \n", + "Healthcare Data Scientist | \n", + "$63K-$112K (Glassdoor est.) | \n", + "What You Will Do:\\n\\nI. General Summary\\n\\nThe... | \n", + "3.4 | \n", + "University of Maryland Medical System\\n3.4 | \n", + "Linthicum, MD | \n", + "Baltimore, MD | \n", + "10000+ employees | \n", + "1984 | \n", + "Other Organization | \n", + "... | \n", + "MD | \n", + "0 | \n", + "36 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 2 | \n", + "Data Scientist | \n", + "$80K-$90K (Glassdoor est.) | \n", + "KnowBe4, Inc. is a high growth information sec... | \n", + "4.8 | \n", + "KnowBe4\\n4.8 | \n", + "Clearwater, FL | \n", + "Clearwater, FL | \n", + "501 to 1000 employees | \n", + "2010 | \n", + "Company - Private | \n", + "... | \n", + "FL | \n", + "1 | \n", + "10 | \n", + "1 | \n", + "0 | \n", + "1 | \n", + "0 | \n", + "1 | \n", + "1 | \n", + "0 | \n", + "
| 3 | \n", + "Data Scientist | \n", + "$56K-$97K (Glassdoor est.) | \n", + "*Organization and Job ID**\\nJob ID: 310709\\n\\n... | \n", + "3.8 | \n", + "PNNL\\n3.8 | \n", + "Richland, WA | \n", + "Richland, WA | \n", + "1001 to 5000 employees | \n", + "1965 | \n", + "Government | \n", + "... | \n", + "WA | \n", + "1 | \n", + "55 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 4 | \n", + "Data Scientist | \n", + "$86K-$143K (Glassdoor est.) | \n", + "Data Scientist\\nAffinity Solutions / Marketing... | \n", + "2.9 | \n", + "Affinity Solutions\\n2.9 | \n", + "New York, NY | \n", + "New York, NY | \n", + "51 to 200 employees | \n", + "1998 | \n", + "Company - Private | \n", + "... | \n", + "NY | \n", + "1 | \n", + "22 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "1 | \n", + "0 | \n", + "
5 rows Ă 30 columns
\n", + "| \n", + " | hourly | \n", + "min_salary | \n", + "max_salary | \n", + "
|---|---|---|---|
| 165 | \n", + "1 | \n", + "34 | \n", + "48 | \n", + "
| 177 | \n", + "1 | \n", + "42 | \n", + "68 | \n", + "
| 197 | \n", + "1 | \n", + "36 | \n", + "50 | \n", + "
| 202 | \n", + "1 | \n", + "42 | \n", + "68 | \n", + "
| 210 | \n", + "1 | \n", + "30 | \n", + "50 | \n", + "
| 246 | \n", + "1 | \n", + "34 | \n", + "48 | \n", + "
| 271 | \n", + "1 | \n", + "42 | \n", + "68 | \n", + "
| 337 | \n", + "1 | \n", + "36 | \n", + "50 | \n", + "
| 345 | \n", + "1 | \n", + "48 | \n", + "78 | \n", + "
| 357 | \n", + "1 | \n", + "42 | \n", + "68 | \n", + "
| 363 | \n", + "1 | \n", + "50 | \n", + "56 | \n", + "
| 408 | \n", + "1 | \n", + "42 | \n", + "58 | \n", + "
| 409 | \n", + "1 | \n", + "20 | \n", + "34 | \n", + "
| 492 | \n", + "1 | \n", + "36 | \n", + "50 | \n", + "
| 509 | \n", + "1 | \n", + "48 | \n", + "78 | \n", + "
| 533 | \n", + "1 | \n", + "42 | \n", + "68 | \n", + "
| 542 | \n", + "1 | \n", + "50 | \n", + "56 | \n", + "
| 617 | \n", + "1 | \n", + "42 | \n", + "58 | \n", + "
| 618 | \n", + "1 | \n", + "20 | \n", + "34 | \n", + "
| 645 | \n", + "1 | \n", + "54 | \n", + "94 | \n", + "
| 666 | \n", + "1 | \n", + "36 | \n", + "50 | \n", + "
| 682 | \n", + "1 | \n", + "48 | \n", + "78 | \n", + "
| 711 | \n", + "1 | \n", + "42 | \n", + "68 | \n", + "
| 724 | \n", + "1 | \n", + "50 | \n", + "56 | \n", + "
| \n", + " | Rating | \n", + "Founded | \n", + "hourly | \n", + "employer_provided | \n", + "min_salary | \n", + "max_salary | \n", + "avg_salary | \n", + "same_state | \n", + "age | \n", + "python_yn | \n", + "R_yn | \n", + "spark | \n", + "aws | \n", + "excel | \n", + "sql | \n", + "tableau | \n", + "desc_len | \n", + "num_comp | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "742.000000 | \n", + "
| mean | \n", + "3.618868 | \n", + "1837.154987 | \n", + "0.032345 | \n", + "0.022911 | \n", + "74.719677 | \n", + "128.149596 | \n", + "100.626011 | \n", + "0.557951 | \n", + "46.591644 | \n", + "0.528302 | \n", + "0.002695 | \n", + "0.225067 | \n", + "0.237197 | \n", + "0.522911 | \n", + "0.512129 | \n", + "0.199461 | \n", + "3869.545822 | \n", + "1.053908 | \n", + "
| std | \n", + "0.801210 | \n", + "497.183763 | \n", + "0.177034 | \n", + "0.149721 | \n", + "30.980593 | \n", + "45.220324 | \n", + "38.855948 | \n", + "0.496965 | \n", + "53.778815 | \n", + "0.499535 | \n", + "0.051882 | \n", + "0.417908 | \n", + "0.425651 | \n", + "0.499812 | \n", + "0.500190 | \n", + "0.399865 | \n", + "1521.495868 | \n", + "1.384239 | \n", + "
| min | \n", + "-1.000000 | \n", + "-1.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "15.000000 | \n", + "16.000000 | \n", + "13.500000 | \n", + "0.000000 | \n", + "-1.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "407.000000 | \n", + "0.000000 | \n", + "
| 25% | \n", + "3.300000 | \n", + "1939.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "52.000000 | \n", + "96.000000 | \n", + "73.500000 | \n", + "0.000000 | \n", + "11.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "2801.000000 | \n", + "0.000000 | \n", + "
| 50% | \n", + "3.700000 | \n", + "1988.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "69.500000 | \n", + "124.000000 | \n", + "97.500000 | \n", + "1.000000 | \n", + "24.000000 | \n", + "1.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "0.000000 | \n", + "3731.000000 | \n", + "0.000000 | \n", + "
| 75% | \n", + "4.000000 | \n", + "2007.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "91.000000 | \n", + "155.000000 | \n", + "122.500000 | \n", + "1.000000 | \n", + "59.000000 | \n", + "1.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "0.000000 | \n", + "4740.000000 | \n", + "3.000000 | \n", + "
| max | \n", + "5.000000 | \n", + "2019.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "202.000000 | \n", + "306.000000 | \n", + "254.000000 | \n", + "1.000000 | \n", + "276.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "10051.000000 | \n", + "4.000000 | \n", + "
| \n", + " | age | \n", + "avg_salary | \n", + "Rating | \n", + "desc_len | \n", + "
|---|---|---|---|---|
| age | \n", + "1.000000 | \n", + "0.019655 | \n", + "0.021655 | \n", + "0.163911 | \n", + "
| avg_salary | \n", + "0.019655 | \n", + "1.000000 | \n", + "0.013492 | \n", + "0.078808 | \n", + "
| Rating | \n", + "0.021655 | \n", + "0.013492 | \n", + "1.000000 | \n", + "-0.012281 | \n", + "
| desc_len | \n", + "0.163911 | \n", + "0.078808 | \n", + "-0.012281 | \n", + "1.000000 | \n", + "
| \n", + " | avg_salary | \n", + "
|---|---|
| job_simp | \n", + "\n", + " |
| analyst | \n", + "65.857843 | \n", + "
| data engineer | \n", + "105.403361 | \n", + "
| data scientist | \n", + "117.564516 | \n", + "
| director | \n", + "168.607143 | \n", + "
| manager | \n", + "84.022727 | \n", + "
| mle | \n", + "126.431818 | \n", + "
| na | \n", + "84.853261 | \n", + "
| \n", + " | \n", + " | avg_salary | \n", + "
|---|---|---|
| job_simp | \n", + "seniority | \n", + "\n", + " |
| analyst | \n", + "jr | \n", + "47.555556 | \n", + "
| na | \n", + "62.939394 | \n", + "|
| senior | \n", + "79.092593 | \n", + "|
| data engineer | \n", + "jr | \n", + "118.900000 | \n", + "
| na | \n", + "95.259740 | \n", + "|
| senior | \n", + "124.689189 | \n", + "|
| data scientist | \n", + "jr | \n", + "84.250000 | \n", + "
| na | \n", + "107.538251 | \n", + "|
| senior | \n", + "138.956522 | \n", + "|
| director | \n", + "jr | \n", + "140.000000 | \n", + "
| na | \n", + "173.375000 | \n", + "|
| manager | \n", + "na | \n", + "84.022727 | \n", + "
| mle | \n", + "na | \n", + "119.133333 | \n", + "
| senior | \n", + "142.071429 | \n", + "|
| na | \n", + "jr | \n", + "73.100000 | \n", + "
| na | \n", + "74.064103 | \n", + "|
| senior | \n", + "109.061404 | \n", + "
| \n", + " | \n", + " | avg_salary | \n", + "
|---|---|---|
| job_state | \n", + "job_simp | \n", + "\n", + " |
| WI | \n", + "na | \n", + "54.000000 | \n", + "
| data scientist | \n", + "113.500000 | \n", + "|
| analyst | \n", + "58.833333 | \n", + "|
| WA | \n", + "na | \n", + "97.500000 | \n", + "
| data scientist | \n", + "99.764706 | \n", + "|
| ... | \n", + "... | \n", + "... | \n", + "
| AZ | \n", + "analyst | \n", + "55.000000 | \n", + "
| na | \n", + "124.500000 | \n", + "|
| AL | \n", + "na | \n", + "43.750000 | \n", + "
| data engineer | \n", + "65.000000 | \n", + "|
| analyst | \n", + "62.200000 | \n", + "
114 rows Ă 1 columns
\n", + "| \n", + " | \n", + " | avg_salary | \n", + "
|---|---|---|
| job_state | \n", + "job_simp | \n", + "\n", + " |
| WI | \n", + "na | \n", + "4 | \n", + "
| data scientist | \n", + "3 | \n", + "|
| analyst | \n", + "3 | \n", + "|
| WA | \n", + "na | \n", + "1 | \n", + "
| data scientist | \n", + "17 | \n", + "|
| analyst | \n", + "3 | \n", + "|
| VA | \n", + "na | \n", + "5 | \n", + "
| mle | \n", + "2 | \n", + "|
| data scientist | \n", + "18 | \n", + "|
| data engineer | \n", + "10 | \n", + "|
| analyst | \n", + "6 | \n", + "|
| UT | \n", + "data engineer | \n", + "3 | \n", + "
| analyst | \n", + "4 | \n", + "|
| data scientist | \n", + "3 | \n", + "|
| TX | \n", + "na | \n", + "7 | \n", + "
| data scientist | \n", + "13 | \n", + "|
| data engineer | \n", + "8 | \n", + "|
| TN | \n", + "data scientist | \n", + "1 | \n", + "
| data engineer | \n", + "10 | \n", + "|
| analyst | \n", + "2 | \n", + "|
| SC | \n", + "na | \n", + "1 | \n", + "
| RI | \n", + "analyst | \n", + "1 | \n", + "
| PA | \n", + "manager | \n", + "3 | \n", + "
| data engineer | \n", + "1 | \n", + "|
| data scientist | \n", + "6 | \n", + "|
| analyst | \n", + "8 | \n", + "|
| mle | \n", + "7 | \n", + "|
| na | \n", + "8 | \n", + "|
| OR | \n", + "data scientist | \n", + "3 | \n", + "
| data engineer | \n", + "1 | \n", + "|
| OH | \n", + "na | \n", + "3 | \n", + "
| data scientist | \n", + "7 | \n", + "|
| analyst | \n", + "4 | \n", + "|
| NY | \n", + "na | \n", + "12 | \n", + "
| mle | \n", + "2 | \n", + "|
| data scientist | \n", + "40 | \n", + "|
| data engineer | \n", + "4 | \n", + "|
| analyst | \n", + "14 | \n", + "|
| NM | \n", + "data scientist | \n", + "3 | \n", + "
| NJ | \n", + "data scientist | \n", + "4 | \n", + "
| analyst | \n", + "6 | \n", + "|
| data engineer | \n", + "2 | \n", + "|
| manager | \n", + "2 | \n", + "|
| director | \n", + "2 | \n", + "|
| na | \n", + "1 | \n", + "|
| NE | \n", + "na | \n", + "4 | \n", + "
| NC | \n", + "na | \n", + "12 | \n", + "
| data scientist | \n", + "3 | \n", + "|
| data engineer | \n", + "6 | \n", + "|
| MO | \n", + "na | \n", + "3 | \n", + "
| manager | \n", + "1 | \n", + "|
| data scientist | \n", + "3 | \n", + "|
| analyst | \n", + "2 | \n", + "|
| MN | \n", + "data engineer | \n", + "1 | \n", + "
| analyst | \n", + "1 | \n", + "|
| MI | \n", + "manager | \n", + "2 | \n", + "
| data scientist | \n", + "4 | \n", + "|
| MD | \n", + "na | \n", + "16 | \n", + "
| data scientist | \n", + "13 | \n", + "|
| data engineer | \n", + "3 | \n", + "|
| analyst | \n", + "3 | \n", + "|
| MA | \n", + "na | \n", + "46 | \n", + "
| manager | \n", + "5 | \n", + "|
| director | \n", + "6 | \n", + "|
| data scientist | \n", + "30 | \n", + "|
| data engineer | \n", + "12 | \n", + "|
| analyst | \n", + "4 | \n", + "|
| LA | \n", + "analyst | \n", + "1 | \n", + "
| data engineer | \n", + "2 | \n", + "|
| na | \n", + "1 | \n", + "|
| KY | \n", + "na | \n", + "4 | \n", + "
| data scientist | \n", + "2 | \n", + "|
| KS | \n", + "mle | \n", + "3 | \n", + "
| IN | \n", + "na | \n", + "4 | \n", + "
| data scientist | \n", + "2 | \n", + "|
| data engineer | \n", + "4 | \n", + "|
| IL | \n", + "analyst | \n", + "3 | \n", + "
| na | \n", + "6 | \n", + "|
| mle | \n", + "2 | \n", + "|
| director | \n", + "6 | \n", + "|
| data scientist | \n", + "15 | \n", + "|
| data engineer | \n", + "8 | \n", + "|
| ID | \n", + "analyst | \n", + "2 | \n", + "
| IA | \n", + "analyst | \n", + "2 | \n", + "
| data engineer | \n", + "3 | \n", + "|
| GA | \n", + "data scientist | \n", + "3 | \n", + "
| na | \n", + "3 | \n", + "|
| FL | \n", + "data scientist | \n", + "7 | \n", + "
| data engineer | \n", + "3 | \n", + "|
| analyst | \n", + "6 | \n", + "|
| DE | \n", + "na | \n", + "6 | \n", + "
| DC | \n", + "data scientist | \n", + "5 | \n", + "
| data engineer | \n", + "4 | \n", + "|
| analyst | \n", + "2 | \n", + "|
| CT | \n", + "na | \n", + "3 | \n", + "
| data scientist | \n", + "2 | \n", + "|
| CO | \n", + "mle | \n", + "1 | \n", + "
| data engineer | \n", + "3 | \n", + "|
| analyst | \n", + "1 | \n", + "|
| na | \n", + "3 | \n", + "|
| data scientist | \n", + "3 | \n", + "|
| CA | \n", + "na | \n", + "27 | \n", + "
| mle | \n", + "5 | \n", + "|
| manager | \n", + "9 | \n", + "|
| data scientist | \n", + "68 | \n", + "|
| data engineer | \n", + "25 | \n", + "|
| analyst | \n", + "18 | \n", + "|
| AZ | \n", + "data scientist | \n", + "1 | \n", + "
| data engineer | \n", + "5 | \n", + "|
| analyst | \n", + "1 | \n", + "|
| na | \n", + "2 | \n", + "|
| AL | \n", + "na | \n", + "2 | \n", + "
| data engineer | \n", + "1 | \n", + "|
| analyst | \n", + "5 | \n", + "
| \n", + " | avg_salary | \n", + "
|---|---|
| job_state | \n", + "\n", + " |
| DC | \n", + "149.000000 | \n", + "
| CA | \n", + "142.522059 | \n", + "
| UT | \n", + "140.500000 | \n", + "
| MO | \n", + "127.666667 | \n", + "
| IL | \n", + "117.233333 | \n", + "
| NC | \n", + "117.000000 | \n", + "
| NY | \n", + "115.250000 | \n", + "
| MA | \n", + "113.750000 | \n", + "
| WI | \n", + "113.500000 | \n", + "
| PA | \n", + "113.333333 | \n", + "
| MD | \n", + "109.115385 | \n", + "
| CO | \n", + "108.666667 | \n", + "
| VA | \n", + "108.416667 | \n", + "
| NJ | \n", + "106.875000 | \n", + "
| MI | \n", + "106.625000 | \n", + "
| OH | \n", + "105.285714 | \n", + "
| TX | \n", + "100.730769 | \n", + "
| WA | \n", + "99.764706 | \n", + "
| OR | \n", + "98.500000 | \n", + "
| FL | \n", + "97.357143 | \n", + "
| TN | \n", + "96.000000 | \n", + "
| IN | \n", + "84.500000 | \n", + "
| KY | \n", + "84.000000 | \n", + "
| CT | \n", + "84.000000 | \n", + "
| GA | \n", + "81.333333 | \n", + "
| NM | \n", + "74.333333 | \n", + "
| AZ | \n", + "69.500000 | \n", + "
| python_yn | \n", + "0 | \n", + "1 | \n", + "
|---|---|---|
| Revenue | \n", + "\n", + " | \n", + " |
| $1 to $2 billion (USD) | \n", + "16.0 | \n", + "44.0 | \n", + "
| $1 to $5 million (USD) | \n", + "1.0 | \n", + "7.0 | \n", + "
| $10 to $25 million (USD) | \n", + "16.0 | \n", + "16.0 | \n", + "
| $10+ billion (USD) | \n", + "66.0 | \n", + "58.0 | \n", + "
| $100 to $500 million (USD) | \n", + "47.0 | \n", + "44.0 | \n", + "
| $2 to $5 billion (USD) | \n", + "17.0 | \n", + "22.0 | \n", + "
| $25 to $50 million (USD) | \n", + "24.0 | \n", + "16.0 | \n", + "
| $5 to $10 billion (USD) | \n", + "9.0 | \n", + "10.0 | \n", + "
| $5 to $10 million (USD) | \n", + "9.0 | \n", + "9.0 | \n", + "
| $50 to $100 million (USD) | \n", + "21.0 | \n", + "25.0 | \n", + "
| $500 million to $1 billion (USD) | \n", + "29.0 | \n", + "28.0 | \n", + "
| -1 | \n", + "1.0 | \n", + "NaN | \n", + "
| Less than $1 million (USD) | \n", + "1.0 | \n", + "3.0 | \n", + "
| Unknown / Non-Applicable | \n", + "93.0 | \n", + "110.0 | \n", + "
| \n", + " | avg_salary | \n", + "Rating | \n", + "hourly | \n", + "employer_provided | \n", + "same_state | \n", + "age | \n", + "python_yn | \n", + "spark | \n", + "aws | \n", + "excel | \n", + "... | \n", + "job_state_OR | \n", + "job_state_PA | \n", + "job_state_RI | \n", + "job_state_SC | \n", + "job_state_TN | \n", + "job_state_TX | \n", + "job_state_UT | \n", + "job_state_VA | \n", + "job_state_WA | \n", + "job_state_WI | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "72.0 | \n", + "3.8 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "47 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 1 | \n", + "87.5 | \n", + "3.4 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "36 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 2 | \n", + "85.0 | \n", + "4.8 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "10 | \n", + "1 | \n", + "1 | \n", + "0 | \n", + "1 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 3 | \n", + "76.5 | \n", + "3.8 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "55 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "0 | \n", + "
| 4 | \n", + "114.5 | \n", + "2.9 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "22 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| ... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
| 737 | \n", + "84.5 | \n", + "3.9 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "190 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "0 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 738 | \n", + "102.5 | \n", + "4.4 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "14 | \n", + "1 | \n", + "1 | \n", + "1 | \n", + "0 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 739 | \n", + "73.5 | \n", + "2.6 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "36 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "... | \n", + "0 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 740 | \n", + "127.5 | \n", + "3.2 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "-1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "1 | \n", + "... | \n", + "0 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
| 741 | \n", + "93.5 | \n", + "3.6 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "53 | \n", + "1 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "... | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "0 | \n", + "
742 rows Ă 168 columns
\n", + "| \n", + " | alpha | \n", + "error | \n", + "
|---|---|---|
| 5 | \n", + "0.06 | \n", + "-23.242303 | \n", + "