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Module 4 - (2/2) Communicating Data Analysis Findings Flashcards | StudBud
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Module 4 - (2/2) Communicating Data Analysis Findings
Module 4 - (2/2) Communicating Data Analysis Findings
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1
What combines multiple reports and visuals into a single graphical interface?
A database.
A static report.
A spreadsheet.
A Dashboard.
2
What's a key benefit of interactive dashboards in these tools?
Limits data access.
Requires printing for sharing.
Dynamic filtering and sorting.
Only static views.
3
How do humans naturally understand the world, which helps data communication?
Through raw numbers.
Through stories.
Through long reports.
Through complex charts.
4
What kind of assistant does Cognos Analytics offer for new datasets?
An AI assistant.
A data entry assistant.
A formatting assistant.
A reporting assistant.
5
Before visualising, what question about your audience is key?
What's their favourite colour?
What's their job title?
What is important to them?
How many are there?
6
Which chart is typically best for showing trends over time?
Column Chart.
Bar Chart.
Pie Chart.
Line Chart.
7
What's a great thing about tools like Looker and Tableau for the whole organisation?
They let everyone easily see data.
They hide data.
They are very complicated.
They only show raw numbers.
8
Which tool is known for its superior visualisations and geospatial capabilities?
R-Shiny
IBM Cognos Analytics
Power BI
Tableau
9
Which language/tool combo is popular for exploratory data analysis and easy data loading?
Java & Hadoop
SQL & Databases
R & Tidyverse
Python & Pandas
10
What's the challenge when telling a data story?
Having too little data.
Finding any data.
Balancing simplicity & complexity.
Using only words.
11
What's the main goal of data visualisation?
Make info easy to comprehend.
Hide information.
Store raw data.
Create complex charts.
12
What must insights do to drive value and action?
Contain all raw data.
Be presented quickly.
Be very technical.
Be explained to inspire action.
13
What's seen as the "last mile in delivery" for data professionals?
Data cleaning.
Communicating value (storytelling).
Building models.
Collecting raw data.
14
What type of chart is best for displaying trends over a continuous variable like time?
Pie Chart.
Bar Chart.
Line Chart.
Column Chart.
15
What's crucial for establishing the credibility of your data with the audience?
Using complex terms.
Hiding assumptions.
Sharing sources and validations.
Just showing numbers.
16
What software produces interactive data visualisation products with drag-and-drop?
Tableau.
Google Sheets.
Excel.
Power BI.
17
What R package helps build interactive web apps that display R plots?
Dplyr
Shiny
R-Studio
Ggplot2
18
What type of tool helps bring data to life and tell a story visually?
Spreadsheet.
Calculator.
Data visualisations.
Text editor.
19
What's the final step of data analysis?
Communicating findings for decisions.
Collecting more data.
Cleaning the data.
Building a model.
20
Which tool is liked for quick spreadsheet imports and an AI assistant for new data?
Looker
Cognos Analytics
Tableau
Microsoft Excel
21
What Python framework is specifically for creating interactive web-based visualisations?
Dash
Pandas
Matplotlib
Bokeh
22
Which tool is preferred for multiple users to collaborate on charts and reports?
Google Sheets
Microsoft Excel
SPSS
SAS
23
Which cloud-based Microsoft service helps create reports and dashboards with "tiles"?
R-Studio.
Cognos Analytics.
Power BI.
Tableau.
24
Why is visualising data crucial for comprehension?
It uses less paper.
Summarises hidden relationships/patterns.
It makes data harder to retain.
It hides complex details.
25
What kind of values might a Column Chart be better suited for showing than a Bar Chart?
Only very large values.
Only percentages.
Negative and positive values.
Only text labels.
26
Which cloud-based Microsoft service is known for speed and interactive dashboards with "tiles"?
IBM Cognos Analytics
Tableau
Google Sheets
Power BI
27
Which tool is associated with using "sums and macros" for initial data checks?
Power BI.
Cognos.
Excel.
Tableau.
28
What is a key goal of data visualisation for information?
Make it complex.
Only for experts.
Hide patterns.
Easy to comprehend and retain.
29
What kind of connection helps get people to take action from data?
Technical.
Logical.
Emotional.
Financial.
30
What's a great way to "bring data to life" and tell a story effectively?
Powerful visualisations.
More tables.
Just facts and figures.
Long essays.
31
Beyond advanced tools, why do some pros still rely on Excel for data checks?
It's the newest tool.
It connects to all databases.
It makes complex charts.
For simple sums and prepping data.
32
How can you start building trust with your audience at the beginning of a presentation?
Show all raw data.
Tell a joke.
Show understanding of problem.
Speak technically.
33
Why is it important to pick the right communication format (e.g., summary, report)?
To save paper.
To make it longer.
How audience will use info.
To look professional.
34
What must audiences be able to do with your data findings?
Memorise all numbers.
Ignore them.
Trust, understand, and relate.
Criticise them.
35
What software allows drag-and-drop to create interactive graphs and dashboards, and can publish "stories"?
Cognos Analytics
Excel
Tableau
Power BI
36
What Python library is often used for data visualisation in Jupyter Notebooks?
Pandas.
SciPy.
Matplotlib.
NumPy.
37
Which chart is great for comparing parts of a whole as proportions?
Pie Chart.
Column Chart.
Bar Chart.
Line Chart.
38
What's a vital skill for Data Analysts to convince others with data?
Collecting all data.
Coding only.
Telling a compelling story.
Doing complex maths.
39
What's a reason Power BI and Tableau are called "no-brainers" by professionals?
Only for small data.
They require complex coding.
They are free.
Easy to pick up and demonstrate data.
40
What organises and displays reports from multiple sources into a single interface?
A document.
A Dashboard.
A simple chart.
A spreadsheet.
41
Which tool is an end-to-end analytics solution known for strong visuals?
IBM Cognos Analytics.
Excel.
Jupyter Notebook.
Tableau.
42
Which tools are praised for letting
everyone
in an organisation easily see data, regardless of their data background?
Excel & Word
Cognos Analytics & Power BI
R & Tidyverse
Looker & Tableau
43
What's a key factor when deciding which visualisation tool to use?
Its age.
The developer's name.
The tool's price only.
Ease-of-use and purpose.
44
Which Python library is widely used for creating 2D and 3D plots?
Pandas
Dash
Matplotlib
Bokeh
45
According to a study, what made people remember presentations more?
Less facts.
More numbers.
Longer pitch.
The stories told.
46
If you can't communicate your insights, what happens to your hard work?
It gets more complex.
It's stored for later.
It becomes a book.
It's for naught (wasted).
47
Before creating a communication, what key thing must you reconnect with?
Your dataset.
Your audience.
Your old notes.
Your computer.
48
What is a common mistake when presenting data?
Using simple language.
A data dump (too much info).
Using too few charts.
Starting with the problem.
49
What feature of Cognos Analytics helps teams get regular reports automatically?
Simple spreadsheet import.
Manual export.
Basic charting.
Report scheduling (bursting).
50
Which end-to-end analytics solution provides recommendations for visualisations based on your data?
Power BI
IBM Cognos Analytics
Jupyter Notebook
Tableau
51
What's a key benefit of Jupyter Notebook for data visualisation?
It's a spreadsheet.
Needs HTML/JavaScript expertise.
Great for exploring data/visuals with Python.
It's closed source.
52
What discipline uses graphs and charts to communicate info visually?
Data Modelling.
Data Visualisation.
Data Mining.
Data Cleaning.
53
What does a Dashboard offer users beyond a quick overview?
Only historical data.
Ability to drill down for detail.
Complex coding interface.
Only raw data.
