All posts by : chebby

Now let’s use your skills in working with weather data to plan future vacations. Use jupyter-gmaps and the Google Places API for this part of the assignment.

* **Note:** if you having trouble displaying the maps try running `jupyter nbextension enable –py gmaps` in your environment and retry.

* Create a heat map that displays the humidity for every city from the part I of the homework.


* Narrow down the DataFrame to find your ideal weather condition. For example:

* A max temperature lower than 80 degrees but higher than 70.

* Wind speed less than 10 mph.

* Zero cloudiness.

* Drop any rows that don’t contain all three conditions. You want to be sure the weather is ideal.

* **Note:** Feel free to adjust to your specifications but be sure to limit the number of rows returned by your API requests to a reasonable number.

* Using Google Places API to find the first hotel for each city located within 5000 meters of your coordinates.

* Plot the hotels on top of the humidity heatmap with each pin containing the **Hotel Name**, **City**, and **Country**.


As final considerations:

* Create a new GitHub repository for this project called `API-Challenge` (note the kebab-case). **Do not add to an existing repo**

* You must complete your analysis using a Jupyter notebook.

* You must use the Matplotlib or Pandas plotting libraries.

* For Part I, you must include a written description of three observable trends based on the data.

* You must use proper labeling of your plots, including aspects like: Plot Titles (with date of analysis) and Axes Labels.

* For max intensity in the heat map, try setting it to the highest humidity found in the data set.

## Hints and Considerations

* The city data you generate is based on random coordinates as well as different query times; as such, your outputs will not be an exact match to the provided starter notebook.

* You may want to start this assignment by refreshing yourself on the [geographic coordinate system](http://desktop.arcgis.com/en/arcmap/10.3/guide-books/map-projections/about-geographic-coordinate-systems.htm).

* Next, spend the requisite time necessary to study the OpenWeatherMap API. Based on your initial study, you should be able to answer basic questions about the API: Where do you request the API key? Which Weather API in particular will you need? What URL endpoints does it expect? What JSON structure does it respond with? Before you write a line of code, you should be aiming to have a crystal clear understanding of your intended outcome.

* A starter code for Citipy has been provided. However, if you’re craving an extra challenge, push yourself to learn how it works: [citipy Python library](https://pypi.python.org/pypi/citipy). Before you try to incorporate the library into your analysis, start by creating simple test cases outside your main script to confirm that you are using it correctly. Too often, when introduced to a new library, students get bogged down by the most minor of errors — spending hours investigating their entire code — when, in fact, a simple and focused test would have shown their basic utilization of the library was wrong from the start. Don’t let this be you!

* Part of our expectation in this challenge is that you will use critical thinking skills to understand how and why we’re recommending the tools we are. What is Citipy for? Why would you use it in conjunction with the OpenWeatherMap API? How would you do so?

* In building your script, pay attention to the cities you are using in your query pool. Are you getting coverage of the full gamut of latitudes and longitudes? Or are you simply choosing 500 cities concentrated in one region of the world? Even if you were a geographic genius, simply rattling 500 cities based on your human selection would create a biased dataset. Be thinking of how you should counter this. (Hint: Consider the full range of latitudes).

* Once you have computed the linear regression for one chart, the process will be similar for all others. As a bonus, try to create a function that will create these charts based on different parameters.

* Remember that each coordinate will trigger a separate call to the Google API. If you’re creating your own criteria to plan your vacation, try to reduce the results in your DataFrame to 10 or fewer cities.

* Lastly, remember — this is a challenging activity. Push yourself! If you complete this task, then you can safely say that you’ve gained a strong mastery of the core foundations of data analytics and it will only go better from here. Good luck!

Describe how a strategic plan for information technology can differ across organizations. 

Provide a real-world example. 

1. In your first paragraph describe how a strategic plan for information technology can differ across organizations. Use examples in your description.
2. In your second paragraph, use the example in the posting and discuss how an information technology strategic plan for a global company may differ than for a national (US) company.
3. In the third paragraph, provide a real-world example, based upon the examples used in the first post.

 Write a program that encrypts and decrypts the user input. Note – Your input should be only lowercase characters with no spaces. Your program should have a secret distance given by the user that will be used for encryption/decryption. Each character of the user’s input should be offset by the distance value given by the user For Encryption:  Take the string and reverse the string.  Encrypt the reverse string with each character replaced with distance value (x) given by the user. For Decryption:  Take the string and reverse the string.  Decrypt the reverse string with each character replaced with distance value (x) given by the user. 

 Encryption process – udc -> xgf (encrypted) The program should ask the user for input to encrypt, and then display the resulting encrypted output. Next your program should ask the user for input to decrypt, and then display the resulting decrypted output. Enter phrase to Encrypt (lowercase, no spaces): cdu Enter distance value: 3 Result: xgf Enter phrase to Decrypt (lowercase, no spaces): xgf Enter distance value: 3 Result: cdu 

Include an Abstract and  introduction on the topic and a minimum of 3-5 references in proper APA format. 

No plagiarism.

On time delivery.

The topic I would like to choose is “Using data mining techniques to improve the financial/stock information systems… “

1. Identify a chart type that could be used to display different editorial perspectives of your dataset and explain why you felt it to be appropriate.
2. Identify two other chart types that could show something about your subject matter, though maybe not confined to the data you are looking at.  In other words, chart types that could incorporate data not already included in your selected dataset.
3. Review the classifying chart families in Chapter 6 of your textbook.  Select at least one chart type from each of the classifying chart families (CHRTS) that could portray different editorial perspectives about your subject.  This may include additional data, not already included in your selected dataset.   

Create an infographic, table, or chart listing the similarities and differences between Windows, Linux, and the MAC OS X.  Include the following areas: Functionality, Graphical User Interface, Security, User Access, Encryption, etc. Include an introductory paragraph describing your graphic, table, or chart. 

Feel free to be creative in how you develop this assignment. You can complete this using any application you have available, such as Word, PowerPoint, Visio, etc. Your submission should have proper attention to formatting, spelling, grammar, and punctuation. It should be in a format easily viewed on a standard Windows PC.

For the second milestone, you will need to develop several flowcharts that will represent the flow of execution for your game. Before you start,

-Incorporate any feedback from Milestone 1. (look at the file attached) 

You will need a flowchart for each chapter of your game. Download the Milestone 2 file (located in this module) which contains an example of a flowchart for a game chapter that you can use as a guideline.  Save your flowcharts in a single PDF file or paste them as images into a single Microsoft Word document. 

Visit the AI Exploratorium at cs.ualberta.ca/~aixplore. Click the Decision Tree link. Read the narrative on basketball game statistics. Examine the data, and then build a decision tree. Report your impressions of its accuracy. Also explore the effects of different algorithms.

Modify the deliverable from Week 2 to:

• Include a combo box for the locations with five cities of your choice.
• Modify the food field to make it automatically place a value in that field based on the location selected.
• The values for the food field will be 70 when the first location is selected and 80 when the second location is selected.
• The food values will then increase by 5 for the remaining locations when selected.
• Add to the car field to allow for three rental car companies to select from using a radio button.
• The value for the cost of the rental car will remain as a text field.

 Individually, students will read 5 journal/research articles that pertain to marketing a service (as opposed to a product). Students will then write a 3-5 page report (excluding cover page, abstract, and references) synthesizing those 5 articles. APA methodology applies to this assignment.