Learn Google Data Studio with me

The real use of Google Data Studio

Clean Data

Cleaning data is a crucial step in every Data Analysis process. We mostly get data unorganised, missing values, and unordered. To make a proper visualisation and sync all visualisations we need to first organise data.

Steps to clean data

  • Check numerical values do not contain any non-numerical data
  • Check for missing or blank data
  • Check if any value can create infinite error

 

For Ex- 

Let’s have this random data

City

Delhi

Mumbai

Kolkata

Bangalore

Hyderabad

Pune

Population

22876489

35466787

14536787

14355675

8076877

4089754

Mobile Phones

212124567

45455678

11123456

23234545

5454556

3445678

Bank Accounts

147588746

27883467

10984777

16774883

9088736

3099847

What do you think about the table format? Does this look fine to import? The answer is No.

Metrics & Dimensions

Before importing any data, you need to be clear on Dimensions and Metrics.

 

What is a Dimension?

Dimensions are the attributes for which a data is given or derived. In the above example, dimensions are cities (Delhi, Mumbai, etc.). Dimensions should come on the left most row.

 

What is a Metric?

Metric is a value, generally numeric values, like Population and Mobile Phones. Metric should be placed in the top most row of a data table.

 

So the correct representation of our data will change.

City

Population

Mobile Phones

Bank Accounts

Delhi

22876489

212124567

147588746

Mumbai

35466787

45455678

27883467

Kolkata

14536787

11123456

10984777

Bangalore

14355675

23234545

16774883

Hyderabad

8076877

5454556

9088736

Pune

4089754

3445678

3099847

 

Now, if you ask me a way to do it quickly, then use TRANSPOSE paste in excel. 

Visit sheet.new on your browser. 

Paste your existing data. 

Copy the table. 

Go to Edit -> Paste Special -> Transposed

Date Metric

Let’s say you have a date metric in your data. For example, year wise growth of population of these cities. Then you should place Years on the first column and city names on the top row.

Year

Delhi

Mumbai

Kolkata

Bangalore

Hyderabad

Pune

2011

           

2012

           

2013

           

2014

           

 

Why put a year in the first column?

 

So this is done basically to make the date a dimension so that we can put your filter and get desired data whenever we want dates to be filtered.

Import Data

Importing data is really simple in Google Data Studio. We have so many data import options in Data Studio. The most basic one is to import excelWho sheet but here I find Google sheet to be more simple the reason behind the connectivity you need not to upload anything, you just need to attach a Google sheet to the data studio and that is very easy.