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Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
In Pandas, which method is used to fill missing values in a DataFrame with specified values or a filling method?
What Python function is used to create a new column in a Pandas DataFrame based on the values of existing columns?
In Pandas, which method is used to sort a DataFrame by the values in one or more columns in ascending or descending order?
In Pandas, which method is used to apply a custom function to each element of a DataFrame or Series?
In Pandas, which method is used to calculate the mode of a numerical column in a DataFrame?
In Pandas, which method is used to calculate the variance of a numerical column in a DataFrame?
In Pandas, which method is used to calculate the covariance between two numerical columns in a DataFrame?
In Pandas, what method is used to remove missing values from a DataFrame?
In Pandas, what method is used to calculate summary statistics for numerical columns in a DataFrame?