Which of the following datasets has tidy data? Dataset 1 # A tibble: 4 x 3 country '1992 '1997 1 Australia 409511234952 501223252921
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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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- Load the gapminder package. Then, use the gapminder dataset and complete the following codes to find countries with the largest population in 2007 of each continent as shown below. #A tibble: 5 x6 # Groups: continent country continent year lifeExp pop gdpPercap Australia Oceania 2007 81.2 20434176 34435 China Asia 2007 73 1.32E+09 4959 Germany Europe 2007 79.4 82400996 32170 Nigeria Africa 2007 46.9 1.35E+08 2014 United States Americas 2007 78.2 3.01E+08 42952 gapminder::gapminder %>% filter ( (no answer) ==2007) %>% (no answer) (continent) %>% (no answer) (n=1, (no answer)Observe the table DOCTOR: DOCTOR DoctorID Name DateOfMDGraduation NumberOfPatients D111 John 1/1/1999 100 D222 Tina 1/2/2003 117 D333 Ellen 1/1/2001 117 D444 Tina 1/1/2003 144 Normalizing table DOCTOR to 3NF will result in: O Five separate tables O Four separate tables O No changes (table DOCTOR remains as is, no additional tables) O Three separate tables O Two separate tablesIn python: Question: Binning or discretization can reduce the risk of de-anonymization in a dataset. If the 'act_moving_seconds' is replaced with the nearest integer-valued minute,what is the modified number of unique identifiers present in this column? Steps: replace 'act_moving_seconds' with the nearest integer-valued minute. find the new/modified number of unique identifiers for this column ( same steps as Q.4 ) To replace the values in a column, take a look at this following example (code example is in screen shot) CSV file code: url = "https://raw.githubusercontent.com/nat-data/data/main/jeddah_strava_segments.csv" df = pd.read_csv(url)
- The data in flat files has been provided: INVOICE TABLE INVOICE_NUM CUSTOMER_ID INVOICE_DATE EMPLOYEE_ID COIN_ID DELIVERY_ID 8111 11011 15 May 2021 emp103 7111 511 8112 11013 15 May 2021 emp101 7116 512 8113 11012 17 May 2021 emp101 7112 513 8114 11015 17 May 2021 emp102 7111 514 8115 11011 17 May 2021 emp102 7115 515 8116 11015 18 May 2021 emp103 7115 516 8117 11012 19 May 2021 emp105 7112 517 8118 11013 19 May 2021 emp105 7112 517 COIN_RETURNS TABLE RETURN_ID RETURN_DATE REASON CUSTOMER_ID COIN_ID EMPLOYEE_ID ret001 25 May 2021 Customer not satisfied with product 11011 7116 emp101 ret002 25 May 2021 Product missing part 11013 7114 emp103 COIN TABLE COIN_ID PRODUCT PRICE QTY 7111 1oz Gold Kruger Rand R 5 999 10 7112 1oz Silver Kruger Rand R 12 999 8 7113 Gold Big 5 Uncirculated R 15 999 8 7114 Silver Big 5 Pack R 7 999 5 7115 1oz Gold Palaeontology R 11 999 15 7116 1oz Silver Palaeontology R 7 999 12 COIN_DELIVERY TABLE…DDEPARTMENTS Columna Data Model IConstraints iGrants Istatutica Triogers irlahback Dependendes Detals i * a E X Sort. Fiter. DEPARTMENT... DEPARTHENT NAME 10 Administration () MANAGER_ JD ) LOCATIONUD 1700 200 20 Marketing 201 1800 30 Purchasing 40 Human Resources 114 1700 203 2400 50 Shapping 121 1500 €0 IT 103 1400 70 Public Relationa 204 2700 80 Sales 145 2500 90 Executive 100 1700 10 100 Finance 108 1700 11 110 Accounting 205 1700 12 120 Treasury (null) 1700 13 130 Corporate Tax (null) 1700 14 140 Control And Credit (null) 1700 15 150 Shareholder Services (null) 1700 16 160 Benefita (aull) 1700 17 170 Manufacturing (null) 1700 18 180 Construction (null) 1700 19 190 Contracting (null) 700ב 20 200 Operations 1700 (null) (null) 21 210 IT Support 1700 22 220 NOC (null) 1700 23 230 IT Helpdesk (null) 1700 Departments EMPLOYEE JD FIRST NAME LAST NAME EMAL 101 Neena 0 HIRE DATE ) 08D 21-SEP-89 AD VP 10 PHONE NUMBER SALARY COMMESSION PCT ) MANAGER D DEPARTMENT ID Kochhar SROCHHAR…Load the given data set into Google Colab python 1. In USD, find the average salary of Data Scientists as well as the standard deviation. 2. List each unique Job Title 3. For each unique Job Title, find their average salary (USD) and standard deviations. https://uc-bcf.instructure.com/courses/28339/files/5680123?verifier=fXym8nGyMe7CmvKYy7QmRDfcunF4DZwhuqakH1rL&wrap=1
- dataset in picture Use the given dataset to perform the following using python: Name of dataframe (your reg_no+your_name) Import the given data set Find out its header and information Calculate the mean, median and mode of covid_deaths, covid_recoveries, and covid_cases Find out the total of covid affected cases(all three cases) in all countries Find out the total of covid related deaths in all countries Countries covid_deaths covid_recoveries covid_cases Pakistan 10000 520000 55000 India 12000 120000 130000 Bangladesh 14000 123000 120000 Srilanka 19000 213000 45000 Bhutan 12000 212 44000 Nepal 1000 9000 12300 Australia 80000 560000 32100 Singapore 2000 130000 12345 England 100000 320000 89765 USA 100000 890000 87898What are the implementation problems of Dates and Times data types? Discuss solutions for these problemsData Mining course From the given dataset find the mean, standard deviation, 25% - the 25% percentile, 50% - the 50% percentile, 75% - the 75% percentile for the 'Math' and 'English' attribute. dictionary_data={'Name':['A','B','C','D','E'],'Math':[87,90,51,25,98],'English':[50,68,45,88,14]} dataframe = pandas.DataFrame(dictionary_data)
- What are the implementation problems of Dates and Times data types?A local veterinarian hospital keeps record about the different pets they see over time, as well as information about the owners and treatment provided.The following tables represent a sample of the information recorded about owners, pets, and treatments. Owners LastName FirstName Phone Downs Marsha 555-537-8765 James Richard 555-537-7654 Frier Liz 555-537-6543 Pets PetName Type Breed Weight King Dog Std. Poodle 25.5 Teddy Cat Cashmere 10.5 Fido Dog Std. Poodle 28.5 King Horse Border Collie 25.0 Treatments Name Anesthesia Required Vaccine No Dental Yes Surgery Yes A veterinarian hospital wants to set up a data warehouse containing various information about the business. One section of this data warehouse should focus on recording information related to each pet visit to the hospital. For each of the visit, it is essential to record the various information…4. In the positional indexing, what are the meaning of following numbers: