Write the Seaborn code snippet so that it generates the shown outcome. Use #load dataset titanic itanic da sns. load_dataset ('titanic') count 300 250 200- 150- 100- 50- 0 Survivors Faxend who man woman child
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- Use import sys. Use the german_credit_data.csv file to complete the following assignment. Create a file, german.py, that loads the .csv file and runs a regression predicting credit amount from age and duration, in that order. Add a constant using sm.add_constant(data). You will need to rename the column 'Credit amount' and should change it to 'Credit_amount'. Note: you will not need to upload the .csv to CodeGrade because I have pre-loaded it. Then, print the parameters and R-squared to 2 decimals using print(model.params.round(2)) print(model.rsquared.round(2))#The Iris Dataset import sklearn.datasetsimport matplotlib.pyplot as plt import numpy as np import scipy iris = sklearn.datasets.load_iris() Write a function that takes in an index i and prints out a verbose desciption of the species and measurements for data point i. For example:Data point 5 is of the species setosaIts sepal length (cm) is 5.4Its sepal width (cm) is 3.9Its petal length (cm) is 1.7Its petal width (cm) is 0.4Can you please exlain step by step .Thank you
- 1. The following code will cause error during execution. What is the reason? import pandas as pd data = pd. Series (range(10)) data.index [5)='five' A. arange () instead of range ( ) should be used. B. pandas Index does not support mutable operations. C. index 5 is out of bounds for axis 0. D. The Series object has no attribute 'index'. 2. Which of the following statement(s) regarding the Python library pandas is/are сorrect? (1) A DataFrame represents a rectangular table of data and contains an ordered collection of columns that are of same value data types. (2) A Series is a n-dimensional array-like object containing sequences of values. (3) pandas automatically aligns two Series object by index label in arithmetic operations. А. (1) only В. (3) only C. (1) & (3) D. All of the aboveWrite a program (call it chr21_gene_names.py) that asks the user to enter a gene symbol and then prints the description for that gene based on data from the chr21_genes.txt file. The program should give an error message if the entered symbol is not found in the table (the user should should not have to worry about case, i.e. it will be a case-insensitive search). The program should continue to ask the user for genes until "quit" or "exit" is given (case-insensitive). Make sure to prompt the user to enter the quit to end the program. Use Dictionaries to solve this problem.HINT: Feel free to use as Dictionary of Dictionaries, but it is not required. HINT: First read the entire text file into a Dictionary that maps the association between gene symbol and description. Once again, make sure to use a Dictionary. Remember to have these command line options: $ python3 chr21_gene_names.py -h usage: chr21_gene_names.py [-h] -i INFILE Open chr21_genes.txt, and ask user for a gene name optional…Complete the docstring below, and use the helper functions attached if necessary: def check_syllable_counts(poem_lines: POEM, description: POETRY_FORM_DESCRIPTION, word_to_phonemes: PRONUNCIATION_DICT) \ -> List[POEM_LINE]: """Return a list of lines from poem_lines that do NOT have the right number of syllables as specified by the poetry form description, according to the pronunciation dictionary word_to_phonemes. If all lines have the right number of syllables, return the empty list. Precondition: len(poem_lines) == len(description[0]) >>> poem_lines = ['The first line leads off,', ... 'With a gap before the next.', 'Then the poem ends.'] >>> description = ((5, 5, 4), ('*', '*', '*')) >>> word_to_phonemes = {'NEXT': ('N', 'EH1', 'K', 'S', 'T'), ... 'GAP': ('G', 'AE1', 'P'), ... 'BEFORE': ('B', 'IH0', 'F',…
- Write code to randomly split your dataset above into a train set and a test set. Your train set should contain 150 examples and your test set should contain 100 examples. [ ] # Write your code hereWrite a program to read and store four student's 21SP registered course and their grade point, sort them into an order their 21 SP registered course, based on grade point from the smallest to the largest, then print them out. The student's 21SP registered course and their grade point values should be typed in by the user in response to a prompt message. Save the file as SortCourse_2019293086.java1. An enumeration type is a set of ordered values. True False
- In The Readline Technique, on page 179, you learned how to read somefiles from the Time Series Data Library. In particular, you learned aboutthe Hopedale data set, which describes the number of colored fox fur peltsproduced from 1834 to 1842. This file contains one value per year perline.a. Write an outline in English of the algorithm you would use to readthe values from this data set to compute the average number of peltsproduced per year.b. Translate your algorithm into Python by writing a function namedhopedale_average that takes a filename as a parameter and returns theaverage number of pelts produced per year.Task 4 Get Binary 2: For task 4 Implement the get_bin_2 function as directed in the comment above the function. If the directions are unclear, run the code, and look at the expected answer for a few inputs. For your solution, you should refer to your solution for Task 2 to get the general idea for Task 4, and you should use largest_po2_le in your solution (think about why this might be useful in terms of the binary representation). Make sure you build the string for 0 and negative numbers correctly. The same restrictions apply from Task 2. Code#include <stdio.h>#include <stdbool.h>#include <stdlib.h> // BEGIN STRINGBUILDER IMPLEMENTATION // This code is a very rudimentary stringbuilder-like implementation// To create a new stringbuilder, use the following line of code//// stringbuilder sb = new_sb();//// If you want to append a character to the stringbuilder, use the// following line of code. Replace whatever character you want to// append where the 'a' is.////…pizzaStats Assignment Description For this assignment, name your R file pizzaStats.R For all questions you should load tidyverse and lm.beta. You should not need to use any other libraries. Load tidyverse with suppressPackageStartupMessages(library(tidyverse)) Load lm.beta withsuppressPackageStartupMessages(library(lm.beta)) Run a regression predicting whether or not wine was ordered from temperature, bill, and pizza. Assign the coefficients of the summary of the model to Q1. The output should look something like this: Estimate Std. Error z value Pr(>|z|)(Intercept) -1.09 1.03 -1.06 0.29temperature -0.04 0.01 -3.20 0.00bill 0.03 0.01 3.75 0.00pizzas 0.19 0.06 3.27 0.00 Here is the link of the pizza.csv https://drive.google.com/file/d/1_m2TjPCkPpMo7Z2Vkp32NiuZrXBxeRn6/view?usp=sharing