dplyr is one of the most popular packages used in R for data manlpulation. Which of the following Is not one of the core functlons In dplyr package?Select one:O a. summary()O b. mutateeOc. arrange(0O d. filter()

It is a package in R language that provides a set of operations which can be used for performing…

dplyr is one of the most popular packages used in R for data manipulation. Which of the following is not one of the core functions in dplyr package? Select one: O a. summary() O b. mutatee O c. arrange() O d. filter()

dplyr is one of the most popular packages used in R for data manipulation. Which of the following is not one of the core functions in dplyr package? Select one: O a. summary() O b. mutatee O c. arrange() O d. filter()

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter3: Data Representation

Section: Chapter Questions

Problem 13RQ: How is an array stored in main memory? How is a linked list stored in main memory? What are their...

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Direction: You can consult any resources such as books, online references, and videosfor this assignment, however, you have to properly cite and paraphrase your answerswhen it is necessary.Solve the problem correctly. Design an enhanced 32 bit ADDER with AND logic. Discuss what type ofVerilog models (e.g. Structural, Dataflow etc.) you have used and why? Also show yourcomments for all the parameters such as input and output ports, connections, instancesof other lower level modules etc.
Python Programming Problem: Simple Soccer Point TableThe programmer will design a simple point table lookup and update application. The table contains some basic information: team_name, match_played, win, draw, loss, point and rank. Design Solution:1. English Premier League is a prestigious soccer league. Here is the result of its one session. Man. City|38|32|2|4|98|1Liverpool|38|30|7|1|97|2Chelsea|38|21|9|8|72|3Tottenham|38|23|2|13|71|4Arsenal|38|21|7|10|70|5 2. Hypothetically, you have been assigned to design a simple lookup software for prestigious ‘English Premier League’ from a given point table. The point table contains team_name, match_played,win, draw, loss, points and rank. 3. The input file, ‘previous_result.txt’ has been provided to you above the top 5 teams in 2018-19 session. Your software needs to be able to search and update the point table based on user input. For example: The first time Chelsea played 38, the second time it changed (based on user input) to 40 and so…
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Identify the difference between blocking and non-blocking assignments. Explain the situation when you would be using them in your Verilog code.
Python decorators can be used in Django in order to avoid duplication of code in view functions. For instance, consider the following definition of a decorator that is then applied to a view function. This code has three bugs: 01: def fetch_author (view_func) : 02: 03: 04: 05: 06: 07: 08: def wrapper (request, *args, **kwargs) : return view_func 09: 10: @fetch_author 11: def books_new (request) : 12: 13: 14: 15: 16: 17: } books = Book.objects.filter (authors _in= [author], year_ _gte="2015") context = { try: author = Author.objects.get (id-request. GET ["author_id"]) view_func (request, author, *args, **kwargs) except Author. Does NotExist: return bad_request (request, Author.DoesNotExist) Line 02 Line 05 Line 08 return render (request, "books-recent.html", context) Line 11 Identify the three lines which contain the three bugs: Line 12 Line 17 "title" : "New books", "books" books,
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The following 4 line data source will be input to a wordcount mapreduce implementation having 3 mappers and 2 reducers;FIRST NAME LAST NAME COMP NAMEPHONE PHONE EMAIL WEBJOHN BUTT BENTON JOHNHTTP WWW BENTON COMThe data will be split into individual lines with each line processed by one of the mappers.Using the 1st line from the data source, show the output produced by the mapper that processes that line
from typing import List, Tuple, Dict from poetry_constants import (POEM_LINE, POEM, PHONEMES, PRONUNCIATION_DICT, POETRY_FORM_DESCRIPTION) # ===================== Provided Helper Functions ===================== def transform_string(s: str) -> str: """Return a new string based on s in which all letters have been converted to uppercase and punctuation characters have been stripped from both ends. Inner punctuation is left untouched. >>> transform_string('Birthday!!!') 'BIRTHDAY' >>> transform_string('"Quoted?"') 'QUOTED' >>> transform_string('To be? Or not to be?') 'TO BE? OR NOT TO BE' """ punctuation = """!"'`@$%^&_-+={}|\\/,;:.-?)([]<>*#\n\t\r""" result = s.upper().strip(punctuation) return result def is_vowel_phoneme(phoneme: str) -> bool: """Return True if and only if phoneme is a vowel phoneme. That is, whether phoneme ends in a 0, 1, or 2. Precondition:…
Coding language: C++. (Try to avoid linked lists if possible please). Add comments. Thanks. • Each functionality component must be implemented as a separate function, though the function does not need to be declared and defined separately • No global variables are allowed • No separate.hor.hpp are allowed • You may not use any of the hash tables, or hashing functions provided by the STL or Boost library to implement your hash table • Appropriate, informative messages must be provided for prompts and outputs You must implement a hash table using the Double Hashing collision strategy and the mid-square base 10 hashing function with an R of 2. Your collision strategy must be implemented as a separate function, though it may be implemented inside your insert/search/delete functions, and should halt an insert / search/delete functions, and should halt an insert/search/delete after table size number of collisions. Your hash function must be implemented as a separate function. Your hash table…
bison implements a shift-reduce parser. Shift is basically equivalent to the bison/flex _____ function. reduce is equivalent to the bison ___ function, and landing on a blank entry in the parse table essentially will make a call to the bison ____ function.a. getToken.getProduction, syntaxErrorb. yytext, yywrap. yyerrorc. yylex, yyparse. yyerrord. none of the above
Dijkstra's algorithm Weight Class Implementationlanguage : C++ Note : Skelton Files Provided Please check the linksproject Details:https://ece.uwaterloo.ca/~dwharder/aads/Projects/5/Dijkstra/ Files:https://ece.uwaterloo.ca/~dwharder/aads/Projects/5/Dijkstra/src/ Please provide clear and complete solution for thumps up.
PYTHON import pandas as pdfrom datetime import dateimport sys from sklearn.preprocessing import OrdinalEncoder def series_report( series, is_ordinal=False, is_continuous=False, is_categorical=False): print(f"{series.name}: {series.dtype}") ###### Your code here ###### # Check command line argumentsif len(sys.argv) < 2: print(f"Usage: python3 {sys.argv[0]} <input_file>") exit(1) # Read in the datadf = pd.read_csv( sys.argv[1], index_col="employee_id") # Convert strings to dates for dob and deathdf['dob'] = df['dob'].apply(lambda x: date.fromisoformat(x))df['death'] = df['death'].apply(lambda x: date.fromisoformat(x)) # Show the shape of the dataframe(row_count, col_count) = df.shapeprint(f"*** Basics ***")print(f"Rows: {row_count:,}")print(f"Columns: {col_count}") # Do a report for each columnprint(f"\n*** Columns ***")series_report(df.index, is_ordinal=True)series_report(df["gender"], is_categorical=True)series_report(df["height"], is_ordinal=True,…