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- KeyError Traceback (most recent call last) File ~\Anaconda3\lib\site-packages\pandas\core\indexes\base.py:3621, in Index.get_loc(self, key, method, tolerance) 3620 try: -> 3621 return self._engine.get_loc(casted_key) 3622 except KeyError as err: File ~\Anaconda3\lib\site-packages\pandas\_libs\index.pyx:136, in pandas._libs.index.IndexEngine.get_loc() File ~\Anaconda3\lib\site-packages\pandas\_libs\index.pyx:163, in pandas._libs.index.IndexEngine.get_loc() File pandas\_libs\hashtable_class_helper.pxi:5198, in pandas._libs.hashtable.PyObjectHashTable.get_item() File pandas\_libs\hashtable_class_helper.pxi:5206, in pandas._libs.hashtable.PyObjectHashTable.get_item() KeyError: 'Year' The above exception was the direct cause of the following exception: KeyError Traceback (most recent call last) Input In [46], in <cell line: 1>() ----> 1 get_year_pop('Aruba') Input In [45], in get_year_pop(country_name) 7 df = df[df['Country Name'] == country_name] 8 # Select only the 'Year' and…Look at the command for the Document Database below. What does it do? db.superheroes.insert{ { collection: “people”, forename: “Bruce”, surname: “Banner”, age: 40 } }; a. It deletes a record for Bruce Banner b. a) It inserts a record for Bruce Banner in the collection superheroes c. It inserts the record for Bruce Banner in the collection people d. It creates a new collection for Bruce Banner in the collection peopleOnce a transaction is committed, it cannot be rolled back. True or false? An index file is always larger than the original database file because the index file needs to store an additional pointer to each record True or False?
- Create a hash function-based direct file organization to keep an item file with the item number as its primary key. The main keys of a sample collection of item file records are listed below. Assume that each bucket can hold two records and that each block in the main storage area can hold a maximum of four records. Use the hash function h(k) = k mod 8, where k indicates the primary key's numerical value. (item number).369 760 692 871 659 975 981 115 620 208 821 111 554 781 181 965EXPLAIN THE BELOW PYTHON AND DBMS CODE STEP BY STEP WITH TERMINOLOGY import osimport platformimport mysql.connectorimport pandas as pdimport datetimemydb = mysql.connector.connect(user='root', password='Arun@102003',host='localhost',database='food')mycursor=mydb.cursor() def MenuSet(): #Function Food Booking System print("Enter 1 : To Add Cutomer details") print("Enter 2 : For Food Order") print("Enter 3 : Exit") try: #Using Exceptions For Validation userInput = int(input("Please Select An Above Option: ")) #Will Take Input From User except ValueError: exit("\nHy! That's Not A Number") #Error Message else: print("\n") #Print New Line if(userInput == 1): Customer() elif (userInput==2): orderitem() elif (userInput==3): Food() elif (userInput==4): OrderFood() elif (userInput==5): View() else: print("Enter correct choice. . . ") MenuSet() def Customer(): L=[] c_name=input("Enter…Write a script that adds an index to the MyGuitarShop database for the zip code field in the Addresses table. Write a script that implements the following design in a database named MyWebDB: In the Downloads table, the UserID and ProductID columns are the foreign keys. In the Users table, the EmailAddress and LastName columns are required, but the FirstName column is not. Include a statement to drop the database if it already exists. Include statements to create and select the database. Include any indexes that you think are necessary. 3. Write a script that adds rows to the database that you created in exercise 2. Add two rows to the Users and Products tables. Add three rows to the Downloads table: one row for user 1 and product 1; one for user 2 and product 1; and one for user 2 and product 2. Use the GETDATE function to insert the current date and time into the DownloadDate column. Write a SELECT statement that joins the three tables and retrieves the data from these tables like…
- You are writing code for a webserver in JavaScript that should keep running at all costs. There is a risky function that queries a database that is unreliable. Write the code you would use to run the synchronous ‘checkDatabase()’ function in a way that does not crash the program if it fails.Assume you have a data set containing 100,000 records and you want to perform a search operation using a hash table with a load factor of 0.7. What is the minimum size of the hash table required to store all the records?import sqlite3 from sqlite3 import Error # Creates connection to sqlite in-memory database def create_connection(): """ Create a connection to in-memory database :return: Connection object """ try: conn = sqlite3.connect(":memory:") return conn except Error as e: print(e) # YOUR CODE HERE # Use sqlite3.connect(":memory:") to create connection object return conn # query to create the table table_sql = """ CREATE TABLE Horses ( id integer PRIMARY KEY NOT NULL, name text, breed text, height real, birthday text ); """ # query to insert data into the table ins_sql = """INSERT INTO Horses VALUES(1,'Babe','Quarter Horse',15.3,'2015-02-10'); """ # query to fetch all data from the table fetch_sql = """SELECT * FROM Horses;""" # creating db connection conn = create_connection() # fetching a cursor from the connection c = conn.cursor() # executing statement to create table c.execute(table_sql) # executing statement to…
- To store an item file with the item number as its main key, create a direct file organization using a hash function. The following table lists the primary keys of a sample collection of item file records. Assume that the blocks in the main storage area can hold a maximum of four records per block and that the buckets can hold two records each. Utilize the hash function h(k) = k mod 8, where k is the main key's numerical value. (item number).369 760 692 871 659 975 981 115 620 208 821 111 554 781 181 965A database has 4 transactions, shown below.TID Date items_boughtT100 10/15/04 {K, A, D, B}T200 10/15/04 {D, A, C, E, B}T300 10/19/04 {C, A, B, E}T400 10/22/04 {B, A, D}Assuming a minimum level of support min_sup = 60% and a minimum level ofconfidencemin_conf = 80%:(a) Find all frequent itemsets (not just the ones with the maximum width/length) using the Apriori algorithm. Show your work—just showing the final answer is not acceptable. For each iteration show the candidate and acceptable frequent itemsets. You should show your work similar to the way the example was done in thePowerPoint slides.(b)List all of the strong association rules, along with their support and confidence values, whichmatch the following metarule, where X is a variable representing customers and itemi denotes variables representing items (e.g., “A”, “B”, etc.).x transaction, buys(X, item1) buys(X, item2) buys(X, item3)Hint: don’t worry about the fact that the statement above uses relations. The point of the…Suppose we have a record file constructed according to the SimpleDB specificapoints) Suppose we have a record file constructed according to the SimpleDB specifications. That is, the block size is 400 bytes, an integer occupies 4 bytes, a string requires an integer length plus one byte per character, and each slot of a record page has an integer INUSE/EMPTY flag; records do not span multiple pages. For each of the tables in the sample database (and assuming there are many records in each table, not just the given sample data), determine how many records will fit per block (be sure to show your calculations). Is there any wasted space in any of the blocks?tions. That is, the block size is 400 bytes, an integer occupies 4 bytes, a string requires an integer length plus one byte per character, and each slot of a record page has an integer INUSE/EMPTY flag; records do not span multiple pages. For each of the tables in the sample database (and assuming there are many records in each table,…