lesson 4 Flashcards
involves examining datasets to draw conclusions about the information they contain, using specialized systems and software. It is a crucial process in business decision-making, helping to identify patterns, correlations, and trends
DATA ANALYTICS
is a powerful tool for data manipulation, analysis, and visualization. It is widely accessible and
contains built-in tools that make it ideal for both beginners and advanced users to perform analytics
MS Excel
Searches for a value in the leftmost column and returns a value in the same
row from a specified column.
VLOOKUP:
summarize large datasets, allowing users to reorganize and extract meaningful information without altering the original dataset.
PivotTables
o Identify and remove duplicates using Data > Remove Duplicates.
o Use Conditional Formatting to highlight duplicate or inconsistent data.
Removing Inconsistencies and Duplicates:
: Horizontal lookup to find data in rows.
HLOOKUP
Cleaning data ensures accurate analysis.
Remove duplicates using Data > Remove Duplicates.
Use text functions like LEFT(), RIGHT(), and TRIM() to clean textual data.
Convert data types and deal with errors such as missing values.
Data Cleaning Techniques
- Excel’s built-in error-checking tools, such as Trace Error and Evaluate Formula, help identify and troubleshoot issues in formulas.
Error Checking
- Filtering Data: Use Data > Filter to sort or filter rows based on specific criteria. Filtering helps
work efficiently with large datasets. - Sorting Data: Sort data alphabetically, numerically, or based on custom lists.
Handling Large Datasets
Best for comparing quantities across different categories.
o Bar Charts:
Effective for showing trends over time.
o Line Charts:
Visualize the proportion of different categories.
o Pie Charts:
Use =—– to add interactive buttons to filter data dynamically in PivotTables and PivotCharts.
Slicers