1. Loading the data set into SQL Management. 2. Developing the descriptive analysis using Transact-SQL.
Budget: $10 – $30 USD
1. Loading the data set into SQL Management.
2. Developing the descriptive analysis using Transact-SQL.
In Python
1. Evaluate the assumption of completeness of the information and, if not, apply the corrective methods for the proper processing of information.
2. Make a global summary of all the study variables, mainly at a univariate level, globally understanding the problem in which I am immersed.
3. In accordance with the proposed business objective, perform an association or correlation analysis, commenting and documenting its possible findings.
4. Perform an analysis to detect possible outliers in the main variables. If these possible outliers are detected, do you think it would be more appropriate to remove those outliers, or remove the variables that have more outliers?
5. According to the previous question, what are the main drivers or factors that could help us explain the problem of study?
2. Developing the descriptive analysis using Transact-SQL.
In Python
1. Evaluate the assumption of completeness of the information and, if not, apply the corrective methods for the proper processing of information.
2. Make a global summary of all the study variables, mainly at a univariate level, globally understanding the problem in which I am immersed.
3. In accordance with the proposed business objective, perform an association or correlation analysis, commenting and documenting its possible findings.
4. Perform an analysis to detect possible outliers in the main variables. If these possible outliers are detected, do you think it would be more appropriate to remove those outliers, or remove the variables that have more outliers?
5. According to the previous question, what are the main drivers or factors that could help us explain the problem of study?