## Data Analysis Using VBA and Power BI Mastery

##### Description

This course dives into the detailed aspects of handling data using Visual Basic for Applications (VBA), covering the fundamentals of VBA, how to automate tasks and introducing handling big data with Excel, DAX, Power BI. You will gain deeply rooted understanding and practical knowledge of VBA's application in data analysis, and how it integrates with DAX and Power BI for advanced data processing. Incredible value is also added through units focusing on unique, useful big data formulas. Your decision-making capabilities will skyrocket due to newfound data processing efficiency and effectiveness.

The original prompt: Please review and explain contents in detail

Option Explicit

Sub CopyMatchingRows() Dim wb As Workbook Dim wsSource As Worksheet, wsDest As Worksheet Dim searchValue As String Dim foundRange As Range, cell As Range Dim newRow As Long

```
' Open the workbook containing the data
Set wb = Workbooks.Open("C:\Users\dilsh\Desktop\Я\Книга-А.xlsx")
Set wsSource = wb.Sheets(1)
' Get the search value from user input
searchValue = InputBox("Enter the search value:")
' Set destination worksheet
Set wsDest = ThisWorkbook.Sheets("Лист1")
' Find the rows containing the search value
Set foundRange = wsSource.Columns("A").Find(what:=searchValue, LookIn:=xlValues, lookat:=xlPart)
If Not foundRange Is Nothing Then
newRow = 1
' Loop through each found cell and copy the entire row to destination worksheet
For Each cell In foundRange.EntireRow
cell.EntireRow.Copy wsDest.Cells(newRow, 1)
newRow = newRow + 1
Next cell
Else
MsgBox "No matching rows found."
End If
' Close the source workbook without saving
wb.Close SaveChanges:=False
```

End Sub

# Introduction to Data Analysis Using VBA

Visual Basic for Applications (VBA) is a programming language developed by Microsoft used in many Office programs to automate tasks. This guide will help you on how to use VBA for data analysis. We will take a deep dive into how to use DAX, Excel, and Power BI to leverage the power of big data processing.

This write-up is composed within the first unit of our guide. In this section, we will discuss the essential VBA components, how to write effective VBA codes, and some basic functions often used in data processing.

# 1. Setting Up VBA in Excel

To access the VBA editor in Excel, follow these instructions:

```
1. Open Excel.
2. Press "Alt + F11".
3. The VBA editor window will appear.
```

# 2. Understanding Key VBA Components: Variables and Data Types, Procedures and Functions

## Variables and Data Types

In VBA, variables hold values or expressions. When defining a variable, a data type should be declared according to the type of value it will hold. Here's how to declare a variable:

`Dim variable As DataType`

Here are common data types used in VBA:

- Integer
- String
- Boolean
- Date

## Procedures and Functions

Procedures in VBA are often known as macros. There exist two types of procedures - Sub and Function procedures.

**Sub Procedures**: It does not return a value and is triggered either manually or by an event. Basic sub procedure example:

```
Sub procedureName()
' code to execute
End Sub
```

**Function Procedures**: It returns a value and can be used in a formula or inside another procedure.

```
Function fName(parameters) As DataType
' code to execute
fName = return value
End Function
```

# 3. Basic VBA Functions for Data Processing

As VBA supports variety of functions, let's discuss some general ones used for data processing:

**Range**:The Range property allows for control over individual cells or ranges of cells.

`Range("A1").Value = 10`

**Cells**: The Cells property provides another way to reference a particular cell.

`Cells(1, 1).Value = 10 ' Referring to cell A1`

**Count**: The Count property helps to get the total count of the cells in a range.

```
Dim rng as Range
Set rng = Range("A1:A10")
rng.Count ' Returns 10
```

# 4. Make Excel Talk to VBA

VBA works on objects, and Excel has many objects like Workbook, Worksheet, Range, Chart, and others. The primary object is the application itself, "Excel."

Application refers to Excel application itself. Workbooks refer to the Excel files. A workbook contains worksheets. Worksheets refer to the individual tabs within a workbook file.

To access cells within a worksheet, we use the “Range” object in VBA.

`Range("A1").Value = "Hello, World!"`

This will print `Hello, World!`

in cell A1 of your active worksheet.

The above sections will give you a basic understanding to get started with VBA. Remember, there's a lot more to discover and to master, including the capacity of VBA to connect with DAX, Excel data models, and Power BI for advanced data analysis. As you proceed with this guide, you will gain a more in-depth knowledge about these topics.

# Automating Excel Tasks Using VBA

## Defining Variables and Data Types in VBA

Variables are used to hold values temporarily for use in the code whereas data types define the type of data a variable can store. It's important to declare variables in VBA to ensure accuracy in coding and improve performance.

`Dim variableName As DataType`

```
Dim numCars As Integer
Dim carName As String
```

## Working with Arrays in VBA

Arrays are used to store multiple values in a single variable. The following code declares a one-dimensional array:

`Dim carBrands(1 To 5) As String`

This code declares a two-dimensional array:

`Dim tableArray(1 To 5, 1 To 4) As Integer`

## Conditional Statements in VBA

**IF Statements**
These are used to perform different actions based on different conditions.

```
If SomeCondition Then
'code if the condition is TRUE
Else
'code if the condition is FALSE
End If
```

**Select Case Structure**
This structure does the same thing as an If-Then-Else statement, but it's cleaner and more flexible when we have multiple conditions to check.

```
Select Case variableName
Case Value1
'code to execute if the variable equals Value1
Case Value2
'code to execute if the variable equals Value2
Case Else
'code to execute if the variable doesn't match any of the above cases
End Select
```

## Looping Structures in VBA

**For Next Loop**
This is used when you have a block of code which you want to repeat a specified number of times.

```
For i = 1 To 10
'Your code here
Next i
```

**Do While/Until Loop**
This loop will repeat a block of VBA code for as long as the condition is TRUE/FALSE.

```
Do While Condition
'Your code here
Loop
```

## Procedures and Functions in VBA

**Sub Procedure**
This is a series of VBA statements enclosed by the Sub and End Sub statements. Sub procedures do not return a value, unlike functions.

```
Sub procedureName()
'Your code here
End Sub
```

**Function**
Functions are procedures that return a value.

```
Function functionName() As DataType
'Your code here
End Function
```

## Error Handling in VBA

Errors can occur while running a VBA code and require proper error handling.

```
Sub demoSub()
On Error GoTo ErrorHandler
'Code here
Exit Sub
ErrorHandler:
MsgBox "An error occurred"
End Sub
```

## Interacting with Excel Sheets using VBA

The following sections show how to perform basic tasks on Excel sheets using VBA.

**1. Read, Write and Update data**

```
'Write data to a cell
Sheets("Sheet1").Cells(1, 1) = "Data"
'Read data from a cell
var = Sheets("Sheet1").Cells(1, 1)
'Update data in a cell
Sheets("Sheet1").Cells(1, 1) = Sheets("Sheet1").Cells(1, 1) + 10
```

**2. Add and Delete Sheets**

```
'Add new sheet
Sheets.Add(After:=Sheets(Sheets.Count)).Name = "NewSheet"
'Delete sheet
Application.DisplayAlerts = False
Sheets("NewSheet").Delete
Application.DisplayAlerts = True
```

**3. Navigate through rows and columns**

```
'Select a row or column
Rows(1).Select
Columns(1).Select
'Move through rows and columns
ActiveCell.Offset(1, 0).Select
ActiveCell.Offset(0, 1).Select
```

**4. Range operations**

```
'Create a range and select it
Dim rng As Range
Set rng = Sheets("Sheet1").Range("A1:B10")
rng.Select
'Iterate through range
For Each cell In rng
'Code here
Next cell
```

**5. Hooks into Excel events**

One of the powerful features of VBA is the ability to hook into Excel events, e.g. opening a workbook, adding a new worksheet, cell changes, etc.

```
Private Sub Workbook_Open()
MsgBox "Workbook opened"
End Sub
```

The `Workbook_Open`

event happens when the workbook is opened. We can place the code in the `ThisWorkbook`

module.

All the above sections provide a practical way of implementing various important tasks using VBA for data analysis and automation. These basics will also allow to extend further and apply more power of DAX and Power BI for Big Data processing in the next parts of this comprehensive guide.

## Data Management with VBA and Excel

Data management with VBA and Excel focuses on managing data stored in Excel using Visual Basic for Applications (VBA) programming language. We will cover how to manipulate data like moving/rearranging data, deleting, inserting cells/rows/columns, and sorting & filtering data.

### Manipulating Data Using VBA in Excel

Manipulating data in Excel using VBA includes operations such as moving data, deleting, inserting, resizing cells/rows/columns etc.

Here's an example of how you can delete a row in Excel using VBA:

```
Sub DeleteRow()
Rows("3:3").Delete Shift:=xlUp
End Sub
```

In the code above, we are defining a new subprocedure called DeleteRow. Inside this subprocedure, we refer to row number 3(marked as "3:3") and remove that row, then shift up other rows using the `Delete Shift:=xlUp`

instruction.

### Sorting Data in Excel Using VBA

You can also sort data in Excel using VBA. Here's a simple example:

```
Sub SortData()
With Worksheets("Sheet1").Sort
.SetRange Range("A1:C10")
.Header = xlYes
.MatchCase = False
.Orientation = xlTopToBottom
.SortMethod = xlPinYin
.Apply
End With
End Sub
```

In the code above, we are defining a new subprocedure called SortData. Inside this subprocedure, we are referencing a worksheet called "Sheet1", and sorting the range A1 to C10. We are sorting top to bottom.

### Filtering Data in Excel Using VBA

Similar to sorting, we can also filter data. Here's an example:

```
Sub FilterData()
Range("A1:C10").AutoFilter _
Field:=1, _
Criteria1:="<20", _
Operator:=xlAnd, _
Criteria2:=">10"
End Sub
```

In the code above, we are defining a new subprocedure called FilterData. Inside this subprocedure, we are filtering the range A1 to C10 with the given criteria in field 1.

### Working with Big Data in Excel

When it comes to large datasets, Excel has a row limitation (1,048,576 rows by 16,384 columns in Excel 2016+). For bigger datasets, we may need to use strategies to handle and analyze big data, such as using Power Query to load data, or Power Pivot to create a data model in Excel, and using DAX (Data Analysis Expression) for data analysis.

Here's an example of a DAX formula to calculate the average of 'Sales' column:

`AVERAGE = AVERGAE('Table'[Sales])`

In the formula above, we are calculating the average for the 'Sales' column in the 'Table'.

Make sure to use these functionalities by activating the Power Pivot and Power Query add-ins in Excel.

With this guide, you should now be able to implement management of data in Excel using VBA and handle big data using Power Query, Power Pivot, and DAX.

# Exploring Power of VBA and DAX: Data Models and Formulas

Once you have a background in VBA for manipulating data in Excel, the next logical step is to enter the realm of Data Models and DAX. VBA provides the ability to automate processes in Excel and manage data, while DAX (Data Analysis Expressions) provides advanced computational capabilities to process and analyze data. Let's get started.

## Section 1: Creating Power Pivot Data Models Using VBA

Below is an example of creating a PowerPivot data model using VBA. This is a simple model that loads a table from Excel into PowerPivot.

In Excel, press ALT + F11 to open the VBA editor, then create a new module and paste the following:

```
Sub CreatePowerPivotModel()
' Clear existing model
ActiveWorkbook.Model.Initialize
' Create a new model with a table
Sheets("Sheet1").ListObjects("Table1").CreateModelConnection
End Sub
```

This VBA function will create a new PowerPivot model in our Excel workbook using the data from "Table1" in "Sheet1".

## Section 2: Using Measured Formulas in DAX

Once we have our Power Pivot data model, we can use DAX to create more complex calculations. This is where the real power of DAX comes in.

Consider the situation where we have a sales table in our PowerPivot model and we want to calculate total revenue.

We can create a measure in DAX and use it in our SQL query to calculate the revenue:

`Revenue:=SUM('Sales'[Unit Price]*'Sales'[Qty])`

This measure will calculate the total revenue based on the unit price and the quantity in the sales table.

## Section 3: Integrating DAX with VBA

VBA can also be used to interact with DAX measures. For instance, we can update a DAX measure using VBA:

```
Sub UpdateDAXMeasure()
' Reference to the measure to update
Dim measure As Measure
Set measure = ThisWorkbook.Model.ModelMeasures.Item("Revenue")
' Update the DAX formula of the measure
measure.DAXFormula = "Revenue:=SUM('Sales'[Unit Price]*'Sales'[Qty])*1.05"
End Sub
```

This updated measure will increase the revenue calculation by an additional 5%.

## Conclusion

In this part, we described how to integrate the power of VBA and DAX to enhance data processing and analysis in Power Pivot. Given Excel's limitations in handling big data, DAX becomes an extremely useful tool to have in your arsenal for advanced computations. With VBA, you can automate repetitive processes and interact with data in Excel and PowerPivot, creating more complex and powerful analysis systems.

# Critical Data Analysis Processes: DAX in Real World Scenarios

Based on your selected topic and unit outline, we'll focus on the practical application of DAX (Data Analysis Expressions) in real-world scenarios. To illustrate this, we'll use a hypothetical scenario: a sales company wanting to analyze their performance over a period. For the purpose of this discussion, we assume that you're already proficient with setting up VBA, Excel and Power BI; and thus, the solution doesn't provide setup instructions or repeat steps featured in the earlier units.

## 1. Understanding Your Data

Imagine that the sales company decides to monitor their data daily across different stores, products, and regions. The raw data from the firm is likely going to be in a tabular format, with columns like `Date`

, `Store`

, `Region`

, `Product`

, `Sales`

, and `Quantity Sold`

.

The first step in any data analysis is understanding and structuring your data. For our example, your data should have a layout similar to this:

Date | Store | Region | Product | Sales | Quantity Sold |
---|---|---|---|---|---|

... | ... | ... | ... | ... | ... |

## 2. Extracting Value From Data with DAX

DAX, being a collection of functions, operators, and constants that can be used in a formula, or expression, works perfectly in such a scenario. It can help in creating useful calculations to extract value from our data.

### 2.1. Basic Calculations

The most immediate metrics the company might be interested in are `Total Sales`

and `Units Sold`

. We can calculate these in DAX as follows:

```
Total Sales = SUM([Sales])
Units Sold = SUM([Quantity Sold])
```

These simple DAX formulas give us our desired total sums.

### 2.2. Time Intelligence Calculations

However, these are not enough. The company might also want to compute the `Sales`

and `Units Sold`

for different periods (Last Year, Last Quarter, etc.). This is where DAX Time Intelligence Functions come in:

```
Sales Last Year = CALCULATE(SUM([Sales]), SAMEPERIODLASTYEAR('Date'[Date]))
Units Sold Last Year = CALCULATE(SUM([Quantity Sold]), SAMEPERIODLASTYEAR('Date'[Date]))
```

The `SAMEPERIODLASTYEAR`

function returns a set of dates in the previous period in the same dates as the current selection.

### 2.3. Aggregated Measures

Additionally, sales managers might be interested in seeing Sales and Units sold by `Store`

, `Region`

, or `Product`

. This can be achieved with simple DAX measures:

```
Sales by Store = CALCULATE(SUM([Sales]), ALLEXCEPT('Data','Data'[Store]))
Units Sold by Store = CALCULATE(SUM([Quantity Sold]), ALLEXCEPT('Data','Data'[Store]))
Sales by Region = CALCULATE(SUM([Sales]), ALLEXCEPT('Data','Data'[Region]))
Units Sold by Region = CALCULATE(SUM([Quantity Sold]), ALLEXCEPT('Data','Data'[Region]))
Sales by Product = CALCULATE(SUM([Sales]), ALLEXCEPT('Data','Data'[Product]))
Units Sold by Product = CALCULATE(SUM([Quantity Sold]), ALLEXCEPT('Data','Data'[Product]))
```

Applying this, we create a dashboard that shows sales performance across Store, Region, and Product over time.

## 3. Integrating with VBA

While DAX provided a strong analytical power, we can add a layer of automation to this using VBA. For instance, we could use VBA to automate the refreshing of this Power BI report or exporting this report to PowerPoint.

```
Sub RefreshReport()
' Refresh Data in Power BI
ActiveWindow.Reports("Report").Refresh
End Sub
Sub ExportReport()
' Export Power BI Report to PowerPoint
ActiveWindow.Reports("Report").Export "C:\Reports\Report.pptx"
End Sub
```

VBA brings about a level of flexibility and automation to your Power BI reports, creating a powerful combination with DAX.

In this unit, we have covered a practical implementation of DAX in a typical real-world scenario and shown how DAX adds a powerful analytical aspect to the BI skills provided by VBA and Power BI. By mastering these units, you should be well-equipped to handle any data or BI task with ease.

# Mastering Big Data with Power BI: Visualisation and Insights

In order to master Big Data using Power BI, it is crucial to understand that Power BI is a robust data analysis and business intelligence tool. It provides a flexible platform for visualizing big data and generating actionable insights. In light of this, we will focus on how to use Power BI to visualize and discover insights from our data, incorporating previous knowledge of VBA and DAX.

## Data Import and Query in Power BI

First, we will take our processed data (cleaned and organized) from Excel or other sources and import it into Power BI. Once you open your Power BI Desktop, go to Home > Get Data > Excel/SQL Server/etc. according to your data source. Complete the required steps and click on 'Load'. The loaded data will be displayed in the Fields pane.

To simplify further descriptions, assume that we have a Sales dataset with columns such as `Sales`

, `Region`

, `Product`

, `Profit`

, etc.

## Interactive Data Visualization

With Power BI, creating interactive data visualizations becomes easy and intuitive. To create a chart, simply select the type of visualization you want from the Visualizations pane, then select the dimension and measure from the Fields pane and drop it on the Values area.

For instance, if we want to analyze the total sales by region, we would select a Bar Chart from the visualization pane and drop `Region`

on Axis and `Sales`

on Values.

```
Visualizations > Bar Chart
Drag 'Region' to Axis
Drag 'Sales' to Values
```

## Building a Dashboard

A dashboard is essentially a collection of several visualizations, metrics, and other data views. Same as for single visualization, you can create a new visual on the canvas and then position it where you want on your dashboard. Use filters, slicers, and other tools to make the dashboard interactive and dynamic.

## Leveraging DAX in Power BI

Data Analysis Expressions (DAX), as used previously within VBA and Excel, is also used within Power BI for creating calculated columns and measures, which allows us to derive more insights from our data.

For instance, if we want to calculate the total profit per product, we would create a new measure.

```
Home > New Measure
Profit_Per_Product = SUM('Table'[Profit])/COUNT('Table'[Product])
```

Where 'Table' is the name of your data table in Power BI.

## Sharing and Collaborating

Once your report or dashboard is ready and you've derived sufficient insights from your data, Power BI allows easy sharing and collaboration. You can publish your report to the Power BI service.

`File > Publish > Publish to Power BI`

Remember to save your work before publishing.

## Conclusion

Through the synergistic use of VBA, DAX and Power BI, Big Data can be thoroughly manipulated, analyzed, visualized, and shared to generate actionable insights to bolster data-driven decision making across a variety of fields. The guide above serves as a practical implementation to aid real life applications.

## Advanced Power BI Features: Data Integration and Relationship Management

In this section, we will discuss how to practically implement some of the advanced features of Power BI such as Data Integration and Relationship Management. Given that you have already mastered VBA and Excel functionalities, this guide will bridge that knowledge gap and walk you through practical steps in Power BI.

### Data Integration in Power BI

Data Integration is about combining data from different sources and providing users with an unified view of the data. This process becomes significant in a variety of situations, which include both commercial (such as customer profile analysis) and scientific (such as data synthesis) domains.

#### 1. Integrating Data from Different Sources

Suppose we are integrating data from two sources, say a `CSV`

file and a `SQL Server`

database. Here are the pseudocode steps you can follow:

- Import CSV:
`Home > Get Data > Text/CSV`

. Then, navigate to your CSV file location and click`Load`

. - Import SQL:
`Home > Get Data > SQL Server`

. Enter necessary connection details and click`Connect`

.

#### 2. Query Editing and Data Transformation

Once data is imported, you may want to perform some transformations:

`Home > Edit Queries > Query Editor`

to open the power query window.- Select required columns or filter rows, rename columns if necessary, change data types, or create new columns with custom expressions.

### Relationship Management in Power BI

After loading the required tables, creating relationships among them is a crucial task. Relationships in Power BI provide a way to visually associate and create connections between two or more tables.

#### 1. Creating Relationships

To create relationship between tables, follow the pseudocode steps:

- Go to
`Model View: Home > View > Relationship View`

. - Drag a field from one table and drop it over the related field in the other table. This will create a relationship.

Alternatively,

- Click
`Manage Relationships: Home > Manage Relationships`

. - In the pop-up window, click on
`New`

. Select the first table, Column, second table, and its related column and then set the relationship type.

#### 2. Verifying Relationships

To verify if the relationships are working correctly, you could do so by visualizing your data:

- Go to
`Report View: Home > View > Report View`

. - Drag fields from both related tables onto a visualization. If the visualization updates correctly, the relationships have been established successfully.

Do remember that the power of Power BI lies in the fact that it allows you to integrate disparate data sources and establish relationships comfortably in a graphical way. It provides a straightforward way to create visualizations from these relationships which is a powerful tool for any data analysis task.

# Manipulating Data: Trees, Graphs and Other Advanced Formulas with Big Data

In this section, we will delve into more advanced data structures such as trees and graphs to manipulate and process big data, and apply some advanced formulas. Though VBA doesn't natively support these data structures, we can still implement them by creating User-Defined Types (UDT).

## Data Structure: Tree

A tree is a hierarchical data structure with a set of linked nodes. It has a root node and every other node is connected by a link from exactly one other node, leading to a hierarchy.

We can create a simple tree structure in VBA using UDT as follows:

```
Type TreeNode
data As Variant
children As Collection
End Type
Sub CreateTreeNode()
Dim root As TreeNode
root.data = "root"
Set root.children = New Collection
End Sub
```

The above code creates a tree node with a "data" field for storing the node value and a "children" collection for storing all child nodes.

## Data Structure: Graph

A graph structure consists of a finite number of vertices(nodes), and the edges(line) that connect them. Unlike trees, graphs can have cycles, implying we can reach the same node by traversing different paths.

Graphs can be implemented in VBA by combining UDT and collections:

```
Type GraphNode
data As Variant
edges As Collection
End Type
Sub CreateGraphNode()
Dim node As GraphNode
node.data = "node1"
Set node.edges = New Collection
End Sub
```

In this case, each `GraphNode`

holds a variant data type and a collection of edges. Each edge in edges can be another `GraphNode`

, creating the connections necessary for a graph structure.

## Advanced Formulas with Big Data

Beside these, you can combine VBA with DAX formulas for operating on big data. For instance:

```
Sub CalculateAverageSales()
Dim result As Variant
' This DAX formula calculates the average of sales
Dim formula As String
formula = "AVERAGE('Sales'[Sales_Amount])"
result = Application.Run("DAX.Calculate", formula)
MsgBox result
End Sub
```

Please make sure you have DAX Studio (Excel-DAX bridge) installed and properly instantiated inside your VBA project.

This example code calls the DAX Calculate function to apply the average formula on the 'Sales'[Sales_Amount] column and shows the result in a message box.

Building upon this pseudocode, you should be able to implement trees, graphs and advanced functions in VBA using DAX/Excel libraries and accomplish Big Data analytics. You ought to create required UI and processing scripts for attaching data to these structures and managing them efficiently.