pletion Status: What would be the table output of "Table 2 EXCEPT Table 1" where Tables 1 and Table 2 are given below? TABLE 1: Name ID Grade Ahmed 1425 Salem 6346 B Sultan 2475 B+ Zayed 3765 C+ TABLE 2: Name ID Grade Badr 3463 Salem 6346 B Samir 2655 Sultan 2475 B+ Click Save and Submit to save and submit. Click Save All Answers to save all answers.
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SQL
SQL stands for Structured Query Language, is a form of communication that uses queries structured in a specific format to store, manage & retrieve data from a relational database.
Queries
A query is a type of computer programming language that is used to retrieve data from a database. Databases are useful in a variety of ways. They enable the retrieval of records or parts of records, as well as the performance of various calculations prior to displaying the results. A search query is one type of query that many people perform several times per day. A search query is executed every time you use a search engine to find something. When you press the Enter key, the keywords are sent to the search engine, where they are processed by an algorithm that retrieves related results from the search index. Your query's results are displayed on a search engine results page, or SER.
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- question 2: import requests from bs4 import BeautifulSoup import pandas as pd url = "https://en.wikipedia.org/wiki/Greenhouse_gas" res = requests.get(url) soup = BeautifulSoup(res.content, "html.parser") # Find the table of interest table = soup.find("table", {"class": "wikitable sortable"}) # Extract the header and data rows header = [th.text.strip() for th in table.find("tr").find_all("th")] data = [[td.text.strip() for td in tr.find_all("td")] for tr in table.find_all("tr")[1:]] # Create the DataFrame df = pd.DataFrame(data, columns=header) import requestsfrom bs4 import BeautifulSoupimport pandas as pd url = "https://en.wikipedia.org/wiki/Greenhouse_gas"res = requests.get(url)soup = BeautifulSoup(res.content, "html.parser") # Find the table of interesttable = soup.find("table", {"class": "wikitable sortable"}) # Extract the header and data rowsheader = [th.text.strip() for th in table.find("tr").find_all("th")]data = [[td.text.strip() for td in tr.find_all("td")] for tr in…DO NOT COPY FROM OTHER WEBSITES Q. How to create dynamic circular list from this txt file data? txt file: Alyce,Female,33 Autumn,Female,26 Brad,Male,45 Jon,Male,60 Zach,Male,22# coding: utf-8 # ### Section 6 Homework - Fill in the blanks # Import the packages needed to perform the analysis import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import warnings warnings.filterwarnings('ignore') # Import the data mov = pd._('P4-Section6-Homework-Dataset.csv', encoding = 'latin1') # check columns in dataset and rename the column without spaces mov._=[] # Explore the dataset mov._() # Check the summary of the dataframe mov._() # Check the structure of the dataframe mov._() # Explore the categorical variable Studio, used in the assignment mov.Studio._() # Find the number of categories in Studio len (mov.Studio._) # Explore the categorical variable Studio, used in the assignment mov.Genre._() # Find the number of categories in Studio len (mov.Genre._) # convert Studio,Movie Title,Genre,Director,Day of Week to categorical variable mov.Studio=mov.Studio.astype('category') mov.Genre=mov._._ mov._ =mov._._…
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- ask 1. Import the data into R and give an overview over the data, using summary statistics asappropriate. If you access the data directly from the UK government webpage, it may be easiestto first load the data into Microsoft Excel and then to save the relevant section of the spreadsheetas a csv file. Make sure to read the explanations in the Excel file.As hinted at in the original spreadsheet, rows are duplicated, with the duplicates differing onlyin the column ‘Licence Category’. Since we are not interested in licence categories, remove thecolumn ‘Licence Category’ from the data, and then use the command unique() to remove theexcess rows. (You can type ‘help(unique)‘ to learn how this command works.) Your reportshould at least address the following issues: Give some general information about the data set. Convince the reader that you have imported the data correctly. State how many rows were removed as duplicates. What is the most common vessel name?PHP According to table the in the image and code program 1 <?php include ('config.php'); $ matrixnum = $_POST['matrixnum']; $ subject_code = $_POST['subject_code ']; $ quiz = $_POST['quiz']; $ assignment = $_POST['assignment']; $ project = $_POST['project']; $ total_marks= $_POST['total_marks']; $ grade = $_POST['grade']; Code program 1 (Based on the program section (Code Program 1), assume that the data wants to be updated by the user. Build program code to provide instructions for updating the data to the assessments table. In addition, build a link to view the updated data.)dnt post unnecessary content answer only know else dislike for sure
- print("Welcome to the Covid 19 support service. please select an option below:") list = ["1.Statistics", "2.Prevention", "3.Symptoms", "4.Treatment", "5.Report Case", "6.Exit"] print(*list, sep='\n') num = input("Enter Choice(1/2/3/4/5/6):") can you please help with my code , I don't know how to provide a input for 1/2/3/4/5/6, like i want to be able to press 1 and then it will give me a paragraph that is linked to 1plz run in r studio n answer all the questions biostats........ Worksheet T tests, Wilcoxon’s test, Mc Nemar’s TestAnswer the following questions using R studio and submit the MSword format from via Moodle.1. Test whether the marginal probabilities are the same or differentfor the following dataset. Create the dataset by using the followingScripts:> set.seed(50)>data <- data.frame(before = sample(c("Positive", "Positive", "Positive", "Positive", "Negative"), 250, replace = TRUE), after = sample(c("Positive", "Positive", "Positive", "Positive", "Negative"), 250, replace = TRUE))>dataNote: Prepare a contingency table using the table function, beforechoosing and running your analysis.2. The following data were recorded as independent observationsfor heights (cm) of Guava Plants treated with NPK nutrients. Wewant to know, if the average height of the these plants statisticallydiffers from 19 cm?18.50, 18.55, 18.60, 18.65, 18.70, 18.75, 18.80, 18.85, 18.90,18.95, 19.00,…Python please starter code: # Web App to Get Stock Market Data from AlphaVantage Serviceimport requests#Function that gets stock info from API# Returns results in list of two strings# DO NOT EDIT THIS FUNCTION EXCEPT TO INSERT YOUR API KEY WHERE INDICATEDdef getStock(symbol):baseURL = "https://www.alphavantage.co/query?function=GLOBAL_QUOTE&datatype=csv"keyPart = "&apikey=" + "REPLACE WITH YOUR API KEY" #Add API keysymbolPart = "&symbol=" + symbolstockResponse = requests.get(baseURL+keyPart+symbolPart)return stockResponse.text #Return only text part of response#Function that computes and displays resultsdef main():# Add code that meets the program specifications (see instructions in Canvas)#Code that starts the appmain()