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問題 #289
Given the following data sample:
Which of the following best describes the data quality issue?
答案:C
解題說明:
Comprehensive and Detailed In-Depth
Analyzing the provided data sample reveals a potential data quality issue that needs to be addressed to maintain the dataset's integrity.
Option A:Data outlier
Rationale:A data outlier refers to a data point that significantly deviates from the other observations in the dataset. In this sample, all order quantities range between 5 and 11, showing
問題 #290
When building a word cloud, what feature varies with the frequency that a word appears in the text?
答案:C
問題 #291
Which of the following should be accomplished NEXT after understanding a business requirement for a data analysis report?
答案:B
解題說明:
Explanation
The next step after understanding a business requirement for a data analysis report is to determine the data necessary for the analysis. This step involves identifying the data sources, variables, metrics, and dimensions that are relevant and sufficient to answer the business question or problem. This step also involves assessing the availability, quality, and accessibility of the data, and planning how to collect, clean, and prepare the data for analysis. The other options are not the next steps after understanding a business requirement, but rather subsequent steps in the data analysis process. Rephrasing the business requirement is a step that can help clarify and refine the business question or problem before determining the data necessary for the analysis.
Building a mock dashboard/presentation layout is a step that can help design and visualize the report before performing the data analysis. Performing exploratory data analysis is a step that can help explore and summarize the data before drawing conclusions and recommendations from the data. Reference: Data Analysis Process - DataCamp
問題 #292
Which of the following best describes a 95% confidence interval?
答案:C
解題說明:
Comprehensive and Detailed In-Depth
A95% confidence intervalis a statistical range, derived from sample data, that is likely to contain the true population mean. It reflects the degree of uncertainty or certainty in a sampling method.
Option C:A set of ranges contains the population mean with 95% certainty.
Rationale:This statement accurately describes a 95% confidence interval. It means that if we were to take 100 different samples and compute a confidence interval for each sample, we would expect about 95 of the intervals to contain the true population mean.
Option A:There is a 95% probability that a sample is within one standard deviation of the mean.
Rationale:This statement confuses confidence intervals with standard deviation. A 95% confidence interval pertains to the range within which the population mean is expected to lie, not the dispersion of individual sample points around the mean.
Option B:A stated range may contain 95% of the population mean, 95% of the time.
Rationale:This statement is incorrect because the population mean is a single value, not something that can be 95%
問題 #293
A data analyst has been asked to merge the tables below, first performing an INNER JOIN and then a LEFT JOIN:
Customer Table -
In-store Transactions -
Which of the following describes the number of rows of data that can be expected after performing both joins in the order stated, considering the customer table as the main table?
答案:B
解題說明:
Explanation
An INNER JOIN returns only the rows that match the join condition in both tables. A LEFT JOIN returns all the rows from the left table, and the matched rows from the right table, or NULL if there is no match. In this case, the customer table is the left table and the in-store transactions table is the right table. The join condition is based on the customer_id column, which is common in both tables.
To perform an INNER JOIN, we can use the following SQL query:
SELECT * FROM customer INNER JOIN in_store_transactions ON customer.customer_id = in_store_transactions.customer_id; This query will return 9 rows of data, as shown below:
customer_id | name | lastname | gender | marital_status | transaction_id | amount | date 1 | MARC | TESCO | M
| Y | 1 | 1000 | 2020-01-01 1 | MARC | TESCO | M | Y | 2 | 5000 | 2020-01-02 2 | ANNA | MARTIN | F | N | 3 |
2000 | 2020-01-03 2 | ANNA | MARTIN | F | N | 4 | 3000 | 2020-01-04 3 | EMMA | JOHNSON | F | Y | 5 |
4000 | 2020-01-05 4 | DARIO | PENTAL | M | N | 6 | 5000 | 2020-01-06 5 | ELENA | SIMSON| F| N|7|6000|2020-01-07 6|TIM|ROBITH|M|N|8|7000|2020-01-08 7|MILA|MORRIS|F|N|9|8000|2020-01-09 To perform a LEFT JOIN, we can use the following SQL query:
SELECT * FROM customer LEFT JOIN in_store_transactions ON customer.customer_id = in_store_transactions.customer_id; This query will return 15 rows of data, as shown below:
customer_id|name|lastname|gender|marital_status|transaction_id|amount|date
1|MARC|TESCO|M|Y|1|1000|2020-01-01 1|MARC|TESCO|M|Y|2|5000|2020-01-02
2|ANNA|MARTIN|F|N|3|2000|2020-01-03 2|ANNA|MARTIN|F|N|4|3000|2020-01-04
3|EMMA|JOHNSON|F|Y|5|4000|2020-01-05 4|DARIO|PENTAL|M|N|6|5000|2020-01-06
5|ELENA|SIMSON||F||N||7||6000||2020-01-07 6||TIM||ROBITH||M||N||8||7000||2020-01-08
7||MILA||MORRIS||F||N||9||8000||2020-01-09 8||JENNY||DWARTH||F||Y||NULL||NULL||NULL As you can see, the customers who do not have any transactions (customer_id = 8) are still included in the result, but with NULL values for the transaction_id, amount, and date columns.
Therefore, the correct answer is C: INNER: 9 rows; LEFT: 15 rows.
問題 #294
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