1. Data management and analysis
The Regional Workshop on the Practical Application of Payment Systems Operations and Oversight Windhoek – October 2017
Data management and analysis
Hopolang Phillip Mashele

2. Outline Advanced Excel Functions Data cleaning in Microsoft Excel
Step 1: Select all entries in the dataset
Step 2: Search and clean error values in the data
Data management and analysis in Microsoft Excel
Step 1: Create a Drop Down List to extract information from the dataset
Step 2: Create 'warning flags' using Conditional Formatting
Step 3: Use Advanced Formulas to control and analyse the data
Exercises

3. Advanced Excel Functions
IF:
SUMIF:
COUNTIF:
OFFSET: 3

4. Advanced Excel Functions (Cont.)
LOOKUP:
RANK:
MATRIX MULTIPLICATION:
if no. of entries in the row of matrix 1 = no. of entries in the column of matrix 2:
if no. of entries in the column of matrix 1 = no. of entries in the column of matrix 2:
Open Advanced_Excel.xls 4

5. Data cleaning in Microsoft Excel
Step 1: Select all entries in the dataset
Ctrl + A
Step 2: Search and clean error values in the data
Ctrl + H → Type what you want to replace → Type the new entry → Click Replace All.
Common error values found in the dataset:
#NA
#VALUE!
#DIV/0!
#NUM!
#NAME?
#REF!
Open Data_Cleaning.xls 5

6. Data management and analysis in Microsoft Excel
Step 1: Create a Drop Down List to extract information from the dataset
Data → Data Validation → List → Source (select the array) → Click OK.
Step 2: Create 'warning flags' using Conditional Formatting
Step 3: Use Advanced Formulas to control and analyse the data
Open Data_Management.xls 6

7. THANK YOU! Questions? 7