part one
1. Create a meal planner/grocery list
Functions you may want to include in your Meal planner/Grocery list, feel free to show creativity:
- Ingredients category
- Lunch breakfast and dinner
- Weeks and days listed
- Price per item
- Calories per meal
a. create a small table with dummy data of minimum of 25 rows. For columns, create as many as you want.
b. Use any 2 visual representations, we have discussed in class, to show your findings.
Part 2
Visualize the dataset to solve a statement problem
- State a problem statement
- Tell the story of your data with visualization
- This should include at least 4-5 visualizations
Note: you can also post a recording of your presentation(optional)
Submit the following
- the file of data used
- CSV or python file (any code file)
- Document explaining your project 150-250 words
PS: You can use any language or tools
a. create a small table with dummy data of minimum of 25 rows. For columns, create as many as you want.
b. Use any 2 visual representations, we have discussed in class, to show your findings.
part 3
1. Explain the relationship among data mining, text mining, and sentiment analysis.
2. What is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
3. What is sentiment analysis? How does it relate to text mining?
4. What are the two common methods for polarity identification? Explain.
5. In your own words, define Web mining, and discuss its importance.
6. What is a search engine? Why is it important for businesses?
7. What is search engine optimization (SEO) and why is it important for organizations that own Web sites?
8.What is the difference between white hat and black hat SEO activities?
9.What is Web analytics? What are the metrics used in Web analytics?
10. What is social media analytics? How is it done? Who does it?
Part 4
1. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?
2. Explain why solving problems under uncertainty sometimes involves assuming that the problem is to be solved under conditions of risk.
3. Excel is probably the most popular spreadsheet software for PCs. Why? What can we do with this package that makes it so attractive for modeling efforts?
4. Describe the general process of simulation.
5. Explain why VIS is particularly helpful in implementing recommendations derived by computers?
6.In your own words, discuss text mining, and its most popular real world applications.
7.Discuss a real world example of social media analytics? How is it done? Who does it?