How To Clean And Transform Data With The Power Query Editor? - PowerPoint PPT Presentation

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Title:

How To Clean And Transform Data With The Power Query Editor?

Description:

Query editor is a function of Power BI desktop. This is a powerful tool for cleaning and transforming data so that your data is ready for your model and visual report. It is easy to use this process in Power BI desktop and easy to understand. If you need any change in your data.Query editor is a function of Power BI desktop. This is a powerful tool for cleaning and transforming data so that your data is ready for your model and visual report. It is easy to use this process in Power BI desktop and easy to understand. If you need any change in your data using power BI then you can change using query editor. – PowerPoint PPT presentation

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Title: How To Clean And Transform Data With The Power Query Editor?


1
Welcome To Loginworks Softwares
2
How To Clean And Transform Data With The Power
Query Editor?
  • Query editor is a function of Power BI desktop.
    This is a powerful tool for cleaning and
    transforming data so that your data is ready for
    your model and visual report. It is easy to use
    this process in Power BI consulting and easy to
    understand. If you need any change in your data
    using power BI then you can change using query
    editor. It works on two or more dataset.
  • Lets discuss the following points as mentioned
    below
  • 1. What is data cleansing and transformation
  • 2. Why use data cleansing and transformation
  • 3. What is the Power query editor
  • 4. How to use Power query editor

3
Data cleansing and transformation

Data cleansing is a process of removing and
detecting inaccurate records from a recordset. It
is used to alter data in a given storage resource
to make sure that it is accurate and correct.
Transformation is a process of filtering out
unusable records of the database in power BI
desktop. The data which is not useful to make a
report and analysis, this type of data should be
cleaned from our database.

Why use data cleansing and transformation?

When any data is in the incorrect format and gets
some error while creating a visual report then we
need to clean the data and transform it so that
we can remove incorrect records from the dataset.
When we import two or more dataset in Power BI
then we need to manage relationships between two
or more table and due to cleaning issue, this is
not done. Then we get some different problem. Now
in this situation, we follow the process of data
cleansing and data transformation which resolve
the issue using power query and save again to
imported file. Because it can solve the issue and
establish the relation easily.
4
Power Query Editor
  • Power Query editor is a functional language that
    drives to Power BI Experts transformation. It
    allows you to easily discover and connect to data
    from public and corporate data source. It is
    useful to manipulate data according to the
    requirement if have many functions like add
    column, transform, manage parameter, advanced
    editor, properties, merge, split, remove column
    or row, format and query setting etc. Using these
    functions we can implement lots of operation.
  • Example Go to the home Ribbon and click on edit
    queries.

5
After that open the edit window in Power Bi
desktop. We can select any one file in one-time
power BI for edit the query. When you move to the
editor then you can perform many tasks using
editor window function.
6
How to use Power query editor?
  • When you open the edit window for any table in
    Power BI Specialist then you can perform many
    operations if you need to change the data type of
    any column. Then right click on the column name
    and get the data type list of column. We can
    change data type from it.

7
Form this step we can change the data type of any
column of the table. Using Power query editor you
can perform the following steps on the table

You can merge column using merge query.

You can add the column from Add column tab.

You can import new data using new source
according to requirement.

You can also edit new dataset using the enter
data table.

Create parameter and edit parameter from manage
parameters.

You can give the reference, delete and duplicate
from manage tab.

You can choose the column and remove the column.

You can keep row and remove the row.

You can split the column into two parts.
8
You can use condition formatting on data.

If you get new requirement and need to create
code in Power BI You can write code in advanced
editors.

You can manage query dependencies from the
database.

You can set the setting of the editor according
to requirements.

You can refresh and load the report using
properties in the query editor.

You can manage query dependencies from the
database.

You can set the setting of the editor according
to requirements.

You can refresh and load the report using
properties in the query editor.

Conclusion

Power query editor is the most important part of
the Power BI desktop. You can perform many
processes according to report requirement in this
editor. If you want any change in data, you can
update many options using it. When you have data
in the incorrect format or unstructured format
then you can apply this process for cleaning and
transforming the data and can perform error
handling technique. Many a time we face some
issues in the formation of data and you can fix
this type of issue using Power query editor. This
is very useful to apply DAX function also. Thanks!
9
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