Imagine we have an individual-level dataset on voting in California. However, for our project we want to examine voting at the county level. In Stata, which command would we use transform our individual-level dataset into a county-level dataset?
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- Assume you are giving a dataset that is based on user surveys. You notice that many surveys have missing fields. You also notice that some surveys have fields on a scale of 1 to 5 while others are on a scale of 1 to 10. The survey has mixed information using metric measurements and the imperial system. There are some different fields depending on the country, but they all relate to the location of the participant. You also notice that some values just don’t make sense. What analysis would you do on the data set to come up with a data cleaning plan? What are some normalization and cleaning tasks you could do based on the information provided in this description?Take the first 1000 entries of the training portion of the Scikit-learn 20 Newsgroups dataset (in the original order) as the training set, and set aside the next 100 entries as the test set. Predict whether a post belongs to a political discussion group using a bag-of-words model (category includes 'talk.politics'). Provide the accuracy on the test set, the input shape of the network, and the predictions of the network for the last two entries in the test set as "accuracy on the test set, network input shape, network predictions for the last two entries in the test set as 'politics' or 'non-politics'". Here's what I have so far: from sklearn.datasets import fetch_20newsgroupsfrom sklearn.feature_extraction.text import CountVectorizerimport numpy as npfrom keras.models import Sequentialfrom keras.layers import Dense, Dropoutfrom keras.optimizers import Adam categories = ['talk.politics.guns', 'talk.politics.mideast', 'talk.politics.misc']newsgroups =…If a classifier provides an accuracy of 1 on a given dataset. What are the precision and recall of this classifier on the same dataset? Precision: Recall:
- Infer the choice of data structure in case you are running a clinic which looks after patients of all sorts. Is it a good strategy to serve patients on first come first serve basis? Justify your answer with logical reasoning. i. ii. Imagine you have a web-site which serves files to hundred thousand users. You cannot service all requests; you can only handle say thousand at once. A fair policy would be first-come-first serve: i.e. serve 1000 at a time in order of arrival. This implies you will have to store incoming requests. Infer the choice of the most appropriate ADT.Produce a table of time poverty rates overall, by age category, and by sex (hint: use the time deficit variable, which is available only for adults). What is the code for this in STATA. How to produce a time poverty table in STATA. what are some of the ways to solve the question, without using prewritten codes.Consider the following list of data: • Jessica's buddy list: Meghan, Alan, Martin. • Meghan's buddy list: Alan, Lori. • Toni's buddy list: Lori, Meghan. • Martin's buddy list: Lori, Meghan. • Alan's buddy list: Martin, Jessica. • Lori's buddy list: Meghan. Answer the following questions:
- This is a chart that was created by the University of Cincinnati Neurological Institute and was featured on their website. It shows that UCNI has 13 verifications in 14 specialty areas, making them the top position. Use Tableau to redesign this chart and make it easier to read. You can use any data chart which you think does a good job (it does not have to be a bar chart). Since we don't have the raw data, you should start by putting the data into an excel sheet. Number of Verifications in 14 Specialty Areas of Neurological Care 14 UCNI 13 12 13 *UCNI has received these designations based on varying levels of site visits, surveys and verifications from patient advocacy groups. UCN's Alzheimer's Center, its 14th specialty area, is under development. 11 10 10 8 9 7 9 6 8 5 4 3 2 5 1 4 4 Johns Hopkins Mass General UCNI 2 2 UCLA U of Pittsburgh Northwestern Barrow Neuro. Institute Cleveland Clinic UC San Francisco Mayo Clinic Ohio State Barnes-Jewish Kettering Neuro. Institute 9,Write the MySql Queries. Proving yourself worthy of being able to handle bigger tasks, the tech lead has decided to give you a challenging job. However, this time, the data that you would be handling is very sensitive and no one wants this data to be leaked. Therefore, instead of getting the entire table, the tech lead has given you the list of attributes that the table contains and the table name. The information given is as follows: You are tasked with building the MySql queries to retrieve the following information: 1. Find the first_name, last_name, email, phone_number, hire_date, and department_id of all the employees with the latest hire_date. 2. Find the first_name, last_name, employee_id, phone_number, salary and department_id of all the employees with the lowest salary in each department. 3. Find the first_name, last_name, employee_id, commission_pct and department_id of all the employees in the department 'DPT007' who have a lower commission_pct than all of the…using R please show the code needed for each step 1) Initial data overview a. Load the faithful dataset in R b. What are the column headers for this data set? c. How many rows of data are in the data set? 2) Summary stats for the full data set a. Compute all of the following for the duration of the eruptions and the waiting time between the eruptions i. mean ii. population variance iii. population standard deviation iv. population coefficient of variation 3)Sampling a. Create a new data frame that contains 100 samples of size 10 from the eruption duration column of the faithful data set i. You can use the sample() function to create your samples of size 10 ii. You can use the replicate() function to repeat the sampling 100 times iii. You can cast the result as a data frame using data.frame() 4) Analyze the Samples a. Create 3 new empty vectors – these will store the sample mean, sample variance, and sample standard deviation of each of your 100 samples b. For each…
- Proving yourself worthy of being able to handle bigger tasks, the tech lead has decided to give you a challenging job. However, this time, the data that you would be handling is very sensitive and no one wants this data to be leaked. Therefore, instead of getting the entire table, the tech lead has given you the list of attributes that the table contains and the table name. The information given is as follows: You are tasked with building the MySql queries to retrieve the following information: 1. Find the first_name, last_name, email, phone_number, hire_date, and department_id of all the employees with the latest hire_date. 2. Find the first_name, last_name, employee_id, phone_number, salary and department_id of all the employees with the lowest salary in each department. 3. Find the first_name, last_name, employee_id, commission_pct and department_id of all the employees in the department 'DPT007' who have a lower commission_pct than all of the employees of the department…Proving yourself worthy of being able to handle bigger tasks, the tech lead has decided to give you a challenging job. However, this time, the data that you would be handling is very sensitive and no one wants this data to be leaked. Therefore, instead of getting the entire table, the tech lead has given you the list of attributes that the table contains and the table name. The information given is as follows: You are tasked with building the MySql queries to retrieve the following information: a) Find the department_id and total number of employees of each department which does not have a single employee under it with a salary more than 30,000. b) For each of the departments, find the department_id, job_id and commission_pct with commission_pct less than at least one other job_id in that department. c) Find the manager_id who does not have any employee under them with a salary less than 3500. d) Find the first_name, last_name, employee_id, email, salary, department_id and…Overview: COVID-19 cases have been increased in the last period. As a result, Ministry of Health has decided to make a simple application to keep track of all citizens and their vaccination status. it is required to help the Ministry implement the required application. Requirements: After a quick meeting with the employee in charge, you got the following information: • Itis required to store the whole data in one collection • Each citizen has a unique civil ID number (national number), name and other attributes (add at least 2 attributes from your choice). In addition, it is required to store information about all doses taken by the citizen. • For each dose, the following information should be stored: manufacturer, when and where has been taken, and information about the health professional who gave it. • Each health professional has a unique civil ID number, name, and it is required to store his/her experience (in years). Moreover, you have been informed that the following operations…