feyninc/tacha huggingface dataset:
|  | 2019 | 2018 | 2017 |
|---|---|---|---|
| Numerator: |  |  |  |
| Net income (loss) | $20,732 | $(26,743) | $18,072 |
| Net income (loss) per share: |  |  |  |
| Basic | $0.25 | $(0.34) | $0.24 |

Question: In which year was basic Net income (loss) per share negative?
Answer: 2018

Question: What was the change in the basic Weighted average shares used in computing net income (loss) per share from 2018 to 2019?
Answer: 3738406

Question: What was the average Diluted Weighted average shares used in computing net income (loss) per share for 2018 and 2019?
Answer: 78573049.67
## Table

|  |  | Years Ended December 31, |  |
|---|---|---|---|
|  | 2019 | 2018 | 2017 |
|  |  | (Dollars in millions) |  |
| Total segment adjusted EBITDA | $15,987 | 16,647 | 12,560 |
| Depreciation and amortization | (4,829) | (5,120) | (3,936) |

Question: What is the Depreciation and amortization for 2019?
Answer: (4,829)
## Table

|  |  | Years Ended December 31, |  |
|---|---|---|---|
|  | 2019 | 2018 | 2017 |
|  |  | (Dollars in millions) |  |
| Total segment adjusted EBITDA | $15,987 | 16,647 | 12,560 |

Question: What is the total segment adjusted EBITDA in 2019?
Answer: $15,987
## Table

|  |  | Years Ended December 31, |  |
|---|---|---|---|
|  | 2019 | 2018 | 2017 |

Question: What years does the table reconcile total segment adjusted EBITDA to net (loss) income for?
Answer: 2019, 2018, 2017
|  |  | Years Ended December 31, |  |
|---|---|---|---|
|  | 2019 | 2018 | 2017 |

Question: Which year has the largest total segment adjusted EBITDA?
Answer: 2018
|  |  | Years Ended December 31, |  |
|---|---|---|---|
|  | 2019 | 2018 | 2017 |
|  |  | (Dollars in millions) |  |
| Total segment adjusted EBITDA | $15,987 | 16,647 | 12,560 |
| Depreciation and amortization | (4,829) | (5,120) | (3,936) |

Question: What is the sum of income tax expense (benefit) in 2018 and 2019?
Answer: 673

Question: What is the percentage change in income tax expense (benefit) in 2019 from 2018?
Answer: 195.88