DA0-001 Exam Dumps - CompTIA Data+ Certification Exam

A pie chart is the best choice to show the composition between the categories of the survey response data set. A pie chart represents the whole with a circle, divided by slices into parts. Each slice shows the relative size of each category as a percentage of the total. A pie chart is useful when the categories are mutually exclusive and add up to 100%. The table shows the favorite color and the number of responses for each color, which can be easily converted into percentages. A pie chart can show how each color contributes to the total number of responses.

Option A is incorrect because a histogram is used to show how data points are distributed along a numerical scale. The survey response data set is not numerical, but categorical.

Option C is incorrect because a line chart is used to show trends or changes over time. The survey response data set does not have a time dimension.

Option D is incorrect because a scatter plot is used to show the relationship between two numerical variables. The survey response data set does not have two numerical variables.

Option E is incorrect because a waterfall chart is used to show how an initial value is increased or decreased by a series of intermediate values. The survey response data set does not have an initial value or intermediate values.

References:

How to Choose the Right Chart for Your Data - Infogram

How to Choose the Right Data Visualization | Tutorial by Chartio

Find the Best Visualizations for Your Metrics - The Data School

How to choose the best chart or graph for your data

The best sampling method for the data analyst’s need is C. Stratified sampling.

Stratified sampling is a type of probability sampling that involves dividing the population into homogeneous groups or strata based on some characteristic, such as state, and then randomly selecting a proportional number of individuals from each stratum.Stratified sampling ensures that every group is adequately represented in the sample, and reduces the sampling error and variability12

Systematic sampling is not correct, because it involves selecting every nth individual from the population, starting from a random point.Systematic sampling does not guarantee that every state will have a similar proportion of data in the sample, and may introduce bias or error if there is a hidden pattern or order in the population12

Convenience sampling is not correct, because it involves selecting individuals who are easily accessible or available to the researcher.Convenience sampling is a type of non-probability sampling that does not involve random selection, and may result in a biased or unrepresentative sample12

Random sampling is not correct, because it involves selecting individuals from the population at random, without any grouping or stratification. Random sampling may not produce a sample that has a similar proportion of data from every state, especially if the population is large or heterogeneous.Random sampling may also have a higher sampling error and variability than stratified sampling12

Mean and mode are measures of central tendency, which describe the typical or most common value in a distribution of data. Mean is the arithmetic average of all the values in a dataset, calculated by adding up all the values and dividing by the number of values. Mode is the most frequently occurring value in a dataset. Other measures of central tendency include median, which is the middle value when the data is sorted in ascending or descending order.

The term ‘4Ac1’ is a combination of numbers and letters, which fits the definition of an alphanumeric string. Alphanumeric refers to a character set that contains both letters and numbers. In data analytics and programming, such a value is typically treated as a string, which is a sequence of characters. Strings can include letters, digits, and various other symbols.

A numeric data type would only include numbers, and a float is a specific kind of numeric data type that includes decimal points, neither of which applies to ‘4Ac1’. A boolean data type represents one of two values: true or false. Since ‘4Ac1’ does not represent a true or false value, it cannot be classified as boolean. Lastly, symbolic is not a standard data type in the context of programming and data analytics.

References:

Understanding Python 3 data types1.

Basic Data Types in Python2.

Java Data Types3.

A dashboard with a scheduled delivery is an efficient way to provide a quick view of test performance. It allows for timely updates, which is crucial given that the superintendent needs the information promptly at the end of each month. The ability to filter scores by school enables the superintendent to easily segment and analyze the data as needed. Bar charts are effective for comparison and can visually communicate the performance across different schools or other categories, making it easier to identify trends and outliers at a glance.

References:

Best practices in data visualization recommend using dashboards for real-time data monitoring and quick access to key metrics1.

Guidelines for presenting performance data suggest that visual tools like bar charts are helpful in comparing and analyzing data effectively1.

Educational performance data analysis often involves comparing scores across different schools or classrooms, which is facilitated by a well-designed dashboard2.

An operational report is the most suitable type of report for information that needs to be sent out on a regular, scheduled basis, such as weekly. Operational reports are designed to provide ongoing insights into the performance of an organization’s operations and are typically automated to be distributed at set intervals. This automation can include scheduling the reports to be emailed to a specific list of recipients, making it an efficient solution for the analyst’s requirement.

Operational reports are often generated from data that is continuously updated, ensuring that the recipients receive the most current information at the time of the report’s distribution. This contrasts with ad hoc reports ©, which are usually created as needed and are not scheduled. Self-service reports (A) require users to generate the report themselves, which is not the requirement here. Research reports (B) are generally more detailed and are not typically used for regular operational updates.

References:

The guidelines on writing email reports suggest that for regular, scheduled information dissemination, structured reports like operational reports are preferred1.

Best practices in reporting also recommend automated and scheduled reports for consistent and timely updates, which operational reports provide2.

The best reporting enhancement that the accounting department could implement to reduce the number of calls on current accounts is C. Increase the frequency of report generation.

By increasing the frequency of report generation, the accounting department could provide the collections manager with more up-to-date information on the customers who are past due on their accounts. This would help to avoid calling customers who have made payments in the time since the last report was printed, and thus reduce the number of calls on current accounts. Increasing the frequency of report generation would also improve the accuracy and timeliness of the data, and enhance the efficiency and effectiveness of the collections process.

Modifying the date range on the report, including a time stamp on the report, or adding a report run date to the report would not be sufficient to reduce the number of calls on current accounts. These enhancements would only provide information on when the report was generated or what period it covers, but they would not change the fact that the reportcould be outdated by the time it reaches the collections manager. Therefore, these enhancements would not solve the problem of calling customers who have already paid their accounts.

The best delivery method to support the client’s requirement is C. Subscription.

Short explanation: A subscription is a delivery method that allows the client to access the dashboard on-demand, whenever they need it. A subscription can be set up by thedata analyst or the client themselves, and it can be configured to send an email notification when the dashboard is updated or refreshed.A subscription also allows the client to view the dashboard online or download it as a file format of their choice12

A. Email is not the best delivery method because it does not allow the client to access the dashboard on-demand. Email deliveries are sent at a fixed time or frequency, and they may not reflect the latest data or changes in the dashboard.Email deliveries also have limitations on the file size and format of the dashboard attachments1

B. Scheduled is not the best delivery method because it does not allow the client to access the dashboard on-demand. Scheduled deliveries are similar to email deliveries, except that they are triggered by a specific event or condition, such as a data update or a threshold value.Scheduled deliveries also have the same limitations as email deliveries on the file size and format of the dashboard attachments1

D. Static is not the best delivery method because it does not allow the client to access the dashboard on-demand. Static deliveries are one-time deliveries that are manually generated by the data analyst or the client. Static deliveries do not update or refresh automatically, and they may become outdated or irrelevant over time.Static deliveries also have limitations on the file size and format of the dashboard files3