M101P HOMEWORK HOMEWORK 5.1

The documents look like this: Posted by Unknown at 6: After that, you just need to sort. Note that not all students in the same class have the same exact number of assessments. Type the validation code below. Check all that apply. For this problem, assume that a city name that appears in more than one state represents two separate cities.

Don’t include their quiz scores in the calculation. Also, you will need a filtering step to get rid of all documents where the city does not start with a digital You will be using the zip code collection data set, which you will find in the ‘handouts’ link in this page. Different states might have the same city name. For example, to extract the first character from the city field, you could write this pipeline:. This involves calculating an average for each student in each class of all non-quiz assessments and then averaging those numbers to get a class average.

Mongodb M101J Homework 1 1 Answers

A city might have multiple zip codes. Posted by Unknown at 6: Ankit Raina May 7, at 3: Choose the answer below.

m101p homework homework 5.1

Prefered Cities to Live! We will check that it works with validate.

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Type the following commands into the mongo shell: The documents look like this: Don’t include their quiz scores in the calculation. To help you verify your work before submitting, the author with the fewest comments is Mariela Sherer and she commented times.

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For this problem, assume that a city name that appears in more than one state represents two separate cities. Those students achieved a class average of Once you’ve generated your aggregation query and found your answer, select it from the choices below.

In this assignment you will use the aggregation framework to find the most frequent author of comments on your blog.

You will need to probably change your projection to send more info through than just that first character. If you imported it correctly, you can go to the test database in the mongo shell and conform that. Type the validation code below. Now use the aggregation framework to calculate the author with the greatest number of comments. In this problem you will calculate the number of people who live in a zip code in the US where the city starts homeaork one of the following characthers:.

MongoDB university mp chapter 5 homework – bigmongodb

Create three directories for the three mongod processes. Try for your self. Also, you will need a filtering step to get rid of all documents where the city does not start with a digital Sunday, March 12, [Solution] Week 6: Friday, 8 September Week 5: A city might have multiple zip codes. You will be using the zip code collection data set, which you will find in the ‘handouts’ link in this page.

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A set of grades are loaded into the grades collection.

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It has been tested under Pymongo 2. To be clear, each student’s average includes only exams and homework grades. Crunching the Zipcode dataset Please calculate the average population of cities in California abbreviation CA and New York NY taken together with populations over 25, The project operator can extract the first digit from any field.

We will be using a data set similar to ones we’ve used before. The output of sh.

m101p homework homework 5.1

For this problem, assume that a city name that appears in more than one state represents two separate cities. Your task is to calculate the class with the best average student performance.

For purposes of keeping the Hands On shell quick, we have used a subset of the data you previously used in zips. In this homework you will build a small replica set on your own computer.

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