What are the phases of the Data Analysis Life Cycle

Data Journal: Data Analysis Life Cycles Visual Guide

Dear 👋💻🌎 Data World,

MAKING LEARNING HOW TO CODE
✧・ﾟ:* CUTE(◕‿◕✿) and INFORMATIVEᕙ(⇀‸↼‶)ᕗ!!!

Data Analysis Life Cycle: the process of going from data to decision.

Welcome to our data journal, and below is what we learn from my journey towards data.

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I hope you enjoy the 6 phases that we learn about in the Data Analysis Life Cycle:

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1. Ask questions and define the problem.

Business Challenge/Objective/Question

2. Prepare data by collecting and storing the information.

Data generation, collection, storage, and data management

3. Process: data by cleaning and checking the information.

Data cleaning/data integrity

4. Analyze: data to find patterns, relationships, and trends.

Data exploration, visualization, and analysis

5. Share: data with your audience

Communicating and interpreting results

6. Act: on the data and use the analysis results.

Putting your insights to work to solve the problem

Thank you for reading my Data Journal ❤ ,
Kody the Coding Corgi & Bits the Adorable A.I.

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P.S.

If you enjoyed this comic strip and could help you in any way

Please share this with your data friends, dev friends, and coding corgis friends so we can make more comics in the future with your support. Thank You!

What are the phases of the Data Analysis Life Cycle? | by Code with Corgis | Code with Corgis | Mar, 2021 | Medium

Code with Corgis ・ Mar 25, 2021 ・

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