@ -40,8 +40,6 @@ You don’t have to wait until the data is thoroughly cleaned and analyzed to st
All the topics in this lesson can help identify missing or inconsistent values, but Pandas provides functions to check for some of these. [isna() or isnull()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.isna.html) can check for missing values. One important piece of exploring for these values within your data is to explore why they ended up that way in the first place. This can help you decide on what [actions to take to resolve them](2-Working-With-Data\08-data-preparation\notebook.ipynb).
All the topics in this lesson can help identify missing or inconsistent values, but Pandas provides functions to check for some of these. [isna() or isnull()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.isna.html) can check for missing values. One important piece of exploring for these values within your data is to explore why they ended up that way in the first place. This can help you decide on what [actions to take to resolve them](2-Working-With-Data\08-data-preparation\notebook.ipynb).
@ -26,6 +26,7 @@ Throughout this lesson two different types of communication will be discussed, O
When communicating data, there will be cases where you will be using one-way communication (think about presenting at a conference, or to a large group where questions won’t be asked directly after) and there will be cases where you will use two-way communication (think about using data to persuade a few stakeholders for buy-in, or to convince a teammate that time and effort should be spent building something new).
When communicating data, there will be cases where you will be using one-way communication (think about presenting at a conference, or to a large group where questions won’t be asked directly after) and there will be cases where you will use two-way communication (think about using data to persuade a few stakeholders for buy-in, or to convince a teammate that time and effort should be spent building something new).
# Effective Communication
# Effective Communication
### Your Responsibilities as a communicator
### Your Responsibilities as a communicator
When communicating, it is your job to make sure that your receiver(s) are taking away the information that you want them to take away. When you’re communicating data, you don’t just want your receivers to takeaway numbers, you want your receivers to takeaway a story that’s informed by your data. A good data communicator is a good storyteller.
When communicating, it is your job to make sure that your receiver(s) are taking away the information that you want them to take away. When you’re communicating data, you don’t just want your receivers to takeaway numbers, you want your receivers to takeaway a story that’s informed by your data. A good data communicator is a good storyteller.
@ -170,9 +171,8 @@ If Emerson took approach #2, it is much more likely that the team leads will tak
[The Five C's of Storytelling - Articulate Persuasion](http://articulatepersuasion.com/the-five-cs-of-storytelling/)
[The Five C's of Storytelling - Articulate Persuasion](http://articulatepersuasion.com/the-five-cs-of-storytelling/)
@ -213,8 +213,6 @@ If Emerson took approach #2, it is much more likely that the team leads will tak
[1. Communicating Data - Communicating Data with Tableau [Book] (oreilly.com)](https://www.oreilly.com/library/view/communicating-data-with/9781449372019/ch01.html)
[1. Communicating Data - Communicating Data with Tableau [Book] (oreilly.com)](https://www.oreilly.com/library/view/communicating-data-with/9781449372019/ch01.html)
Data Science is all about storytelling. Pick any dataset and write a short paper about a story you could tell about it. What do you hope your dataset can reveal? What will you do if its revelations prove problematic? What if your data doesn't easily unlock its secrets? Think of the scenarios your dataset might present and write them down.
## Rubric
## Rubric
Exemplary | Adequate | Needs Improvement
Exemplary | Adequate | Needs Improvement
--- | --- | -- |
--- | --- | -- |
A one-page essay is presented in .doc format with the dataset explained, documented, credited, and a coherent story is presented about it with detailed examples from the data.| A shorter essay is presented in less detailed format | The essay is found lacking in one of the above details.