Run the following cell and interpret the output: I # determine which columns have missing data df.isna().any() 7]: competitorname False chocolate False fruity False caramel False peanutyalmondy nougat crispedricewafer False False False hard False bar False pluribus False False sugarpercent pricepercent winpercent dtype: bool False False Q3e: isna() How many variables have missing data in this dataset? Store the value in the variable var_missing : I # YOUR CODE HERE var_missing df.isna().sum( ) %3D I assert isinstance(var_missing, (np.int64, int)) AssertionError Traceback (most recent call last) in ----> 1 assert isinstance(var_missing, (np.int64, int)) AssertionError:

Run the following cell and interpret the output: I # determine which columns have missing data df.isna().any() 7]: competitorname False chocolate False fruity False caramel False peanutyalmondy nougat crispedricewafer False False False hard False bar False pluribus False False sugarpercent pricepercent winpercent dtype: bool False False Q3e: isna() How many variables have missing data in this dataset? Store the value in the variable var_missing : I # YOUR CODE HERE var_missing df.isna().sum( ) %3D I assert isinstance(var_missing, (np.int64, int)) AssertionError Traceback (most recent call last) in ----> 1 assert isinstance(var_missing, (np.int64, int)) AssertionError:

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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We want to devise a program that can tell whether an input name is the name of a boy or a girl. You can assume that list of all possible names and their corresponding gender association is already available. One possible way is to store all these names in a hash table as key value pairs, where key is the name and value is its associated gender. What is the most suitable hash function for this type of data? Answer in concepts of data structures in C++ please. No code only breif 2-3 lines concept
#In the lines below, I wrote a quick program used to simulate a stock price over two years. As an#investor, I want to know what the longest run was of consecutive gains was in the dataset (e.g.#10.2,13,42,89,85 has a run of three where the price rose before a drop.) Print the length of the longest#run and the members of that run.import numpy as npvec = np.random.uniform(80, 120, 720)print(vec)
GIVE authentic Answer: WEB TECHNOLOGIES Consider the Marks against each students in different subjects Student Names Database Tot Marks : 60 PF Tot Marks : 80 Marketing Tot Marks : 60 Irfan 56 45 59 Salma 67 56 52 Inayat 54 40 48 Basharat 56 53 51 Store these details in the Multidimensional Associative Array. Display the output as shown here S# Student Name Obt: Marks %age= (Obt:Marks / 200) * 100.0 Grade 1 Iranf 160 80 B 2 Salma 175 87 A 3 Inayat 142 71 C 4 Basharat 160 80 B A >80% B (71-80%) C (61-70%) D(51-60%) F<50% Grade Summary Total A Grade = 1 Total B Grade = 2 Total C Grade = 1 Total D Grade = 0 Total F Grade = 0 Add complete set of Screen Shots against all the steps…
If a and b are two non-empty numerical row vectors (of the same length L) present in Matlab Workspace, what command would you use to create a new 2 x L matrix, called d, that is a combination of a and b (a elements are in the first row and elements of b are in the second row)? d = transpose(a, b) d = a _ b d = [a; b] d = a .* (1/b)
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1. Given the following hash function for storing records on courses:f(title) = ASCII value of first character in the title - 64Example: f(Biology I) = 66 – 65 = 1 (ASCII value of B is 66) a. Explain why this is or is not a good hash function.b. What improvement(s) could be made? 2. Assume that the hash function is: f(key) = key % Ba. What is the problem if B is too small?b. What is the problem if B is too large?c. What is the big-0 run-time if there are n records?d. What does the run-time for a find, insert, and delete each approach as B gets verylarge?
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GIVE authentic Answer: WEB TECHNOLOGIES GIVE COMPLETE Code display Outputs Consider the Marks against each students in different subjects Student Names Database Tot Marks : 60 PF Tot Marks : 80 Marketing Tot Marks : 60 Irfan 56 45 59 Salma 67 56 52 Inayat 54 40 48 Basharat 56 53 51 Store these details in the Multidimensional Associative Array. Display the output as shown here S# Student Name Obt: Marks %age= (Obt:Marks / 200) * 100.0 Grade 1 Iranf 160 80 B 2 Salma 175 87 A 3 Inayat 142 71 C 4 Basharat 160 80 B A >80% B (71-80%) C (61-70%) D(51-60%) F<50% Grade Summary Total A Grade = 1 Total B Grade = 2 Total C Grade = 1 Total D Grade = 0 Total F Grade = 0 Add complete set of…
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