Question
Which data analytics technique is suitable for handling
missing data points in a dataset?Solution
When dealing with missing data, data scientists can use two primary methods to solve the error:Â imputation or the removal of data. The imputation method develops reasonable guesses for missing data. It's most useful when the percentage of missing data is low.
More IT Networking Questions
72.5% of 400 – 23.25% of 1020 = 105% of ?
(1/5)(40% of 800 – 120) = ? × 5
Determine the value of ‘x’ if x% of 500 plus {1250 ÷ x of 10} × 5 equals 130
6 × 1.8 × 0.25 × 70 = ? + 9.5
14 × 6 + 9 × 11 = (82 – 3) × ?
4/5 + 6/7 × 14/42 ÷ 24/35 = ?
600 ÷ 8 + 12 % of 250 + ? * 14 = 50 * √49
[4(1/2) + 4(1/3)] × 12 – 42 = ?2
961 × 4 ÷ 31 – 15% of 180 = ? – 73
30, 39, 66, ? , 174, 255
