Answered: MID=SZmOd%2fCrxTo9CHD2XKF+pA%3d%3d

Name: MID=SZmOd%2fCrxTo9CHD2XKF+pA%3d%3d' I need to select any state like ut
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Description: MID=SZmOd%2fCrxTo9CHD2XKF+pA%3d%3d' I need to select any state like uttarpradesh and need to select three districts from the drop down like varanasi, SANT RAVIDAS NAGAR and AGRA If we click on submit I need to get all the data from these three distri

Engineering

Computer Science

MID=SZmOd%2fCrxTo9CHD2XKF+pA%3d%3d

Programming with Microsoft Visual Basic 2017

8th Edition

ISBN:9781337102124

Author:Diane Zak

Publisher:Diane Zak

Chapter12: Database Queries With Sql

Section: Chapter Questions

Problem 6RQ

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Please begging you to help me I have a data-frame that I am trying to transpose, My original data-frame looks like this in excel I was able to partially transpose the data and index the Locations, which I would like to be my first column and not the index. df_transposed = df.T df_transposed df_transposed.reset_index(drop = True, inplace = True) I would like to have the Location, Assessment, Subject, Grade, Percent Met, Total Met as columns in the dataframe.
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Use the dataset songdata.csv to answer the following questions: Which band/artist says love the most (per song)? The least? Who is the most negative band in the data set (in terms of sentiment)? Positive? Which band has the "best" vocabulary? First define what "best" means and then write tidytext code to determine the answer. Can you predict who a song is by? Take Katy Perry and Taylor Swift (or 2 other artists with at least 50 songs each) and come up with 5-10 features for each song. Split data into train and test and see how accurate a model can be (use glm or rf). must be written in R code to use with R studio.
Use the dataset songdata.csv to answer the following questions: Which band/artist says love the most (per song)? The least? Who is the most negative band in the data set (in terms of sentiment)? Positive? Which band has the "best" vocabulary? First define what "best" means and then write tidytext code to determine the answer. Can you predict who a song is by? Take Katy Perry and Taylor Swift (or 2 other artists with at least 50 songs each) and come up with 5-10 features for each song. Split data into train and test and see how accurate a model can be (use glm or rf). Submit a single pdf or word report that includes a short paragraph summary of what you did and your answer to each question, any figures/plots/tables generated, and the R code used at the end of the document. Code needs to be in R Download songdata.csv from github using this link - https://github.com/ugis22/music_recommender/tree/master/content%20based%20recommedation%20system
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CustID CName CAddr ProdID ProdDesc ProdFin UnitPrice OrdQty Value Plano, 7 Dine Natural 800 2 Furniture TX Table Ash Writer Cherry 325 2 Desk 4 Ent'mt Natural 650 Ctr Maple Oak Furniture Bouler, Gallery 6. 11 4Dr 500 4 Co Dresser 4 Ent'mt Natural 650 Ctr Мaple Table 1 Table above shows the invoice data from a furniture company. Answer the following questions based on the info in table above. 1. The table above is not in First Normal Form (1NF). Why? 2. Transform the Table 1 into 1NF. 3. List all the functional dependencies from the INF table produced in Question (2) 4. Write the relation schema for the 1NF table in Question (2) and identify the primary key 5. Is the relation produced in (4) is in second normal form (2NF)? Justify your answer. If its not, transform the relation to 2NF relation(s). 6. Is the relation produced in (4) is in third normal form (3NF)? Justify your answer. If its not, transform the relation to 3NF relation(s). 3.
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