two responses

Response 1

Hello Class,

As indicated by the creator, the way toward understanding data visualization work process includes four phases Formulating your brief, working with data, setting up your publication considering, and building up your outline arrangement. From the over 4 phases, I am picking "formulate your brief" in light of the fact that the fundamental target of making a viable Presentation is extremely critical and during the time spent introduction, slides assumes a noteworthy part in comprehension and to pick up consideration particularly, introductions which include data since, data is exceptionally factor implies data continues evolving. In this way, to have the capacity to construct a data introduction, it ought to incorporate every one of the certainties like history, current patterns, and future development as per the item. In this way, it is essential to formulate your brief for a data introduction. 
At times for a successful brief, right off the bat break down the customer needs and makes slides as indicated by customer desire. Barely any focuses which by and large will assist you with being more successful in detailing your brief are: Analyzing customer/group of onlookers needs, characterizing the target of the introduction unmistakably, setting up the introduction slide as per given goal and giving all the genuine raw numbers helps the gathering of people consideration. Continuously utilize viable textual style and measure and don't utilize all content in the introduction slide rather utilize outlines or charts for the better comprehension of the slide. 

Response 2 

Four Key Stages of Data Visualization Work Flow

The process of understanding data visualization work flow involves four stage. They are

1. Formulating your brief
2. Working with data
3. Establishing your editorial thinking
4. Developing your design solution

From the above four stages I choose to explain Formulating your brief. Formulating your brief focuses on curiosity, conditions and purposes.  Curiosity in a sense of eagerness to understand something. Conditions means the factors and requirements and the purpose in a sense of how the understanding will be facilitated. Data presentation is always important because it plays major role in process of understanding the data and gain attention. Presenting data using charts, such as pie charts, bar charts, line charts gives the easy understanding and clears what the presenter is trying to say in easy manner.

Overall all the four stages are important and every one bears the equal important in making data visualization work flows coherent and credible.

Thank you.