Data Analysis

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19 Terms

1
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What is Data Analysis?

Data analysis is the information

  • i.e. (facts and figures)

that have been collated in a way that allows them to be used to inform decision making.

2
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What are Pie Charts?

A chart that is split into sectors to show:

  • percentages/relative value of different categories of data.

3
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How to calculate data as a proportion of 360° and amount of ________ sold?

Example

If the total sales of crisps in 2016 were 500,000 packets 40% of these were Cheese and Onion.

  • 144/360 x 100 = 40%

  • From there you can work out how many packets were sold for “Cheese and Onion”

  • 500,000 x 0.40 = 200,000 packets sold were “Cheese and Onion”.

<p><strong><em><u>Example</u></em></strong></p><p><span><strong><em>If the total sales of crisps in 2016 were 500,000 packets 40% of these were Cheese and Onion.</em></strong></span></p><ul><li><p><span><strong><em><mark data-color="green" style="background-color: green; color: inherit">144/360 x 100 = 40%</mark></em></strong></span></p></li><li><p><span><strong><em>From there you can work out how many packets were sold for “Cheese and Onion”</em></strong></span></p></li><li><p><span><strong><em><mark data-color="green" style="background-color: green; color: inherit">500,000 x 0.40 = 200,000 packets sold </mark>were “Cheese and Onion”.</em></strong></span></p></li></ul>
4
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When to use a Pie Chart?

  • For visual representation

  • Great demonstration for market share

  • Can compare sales of (e.g ice-cream/crisp flavours)

5
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When NOT to use a Pie Chart?

  • If needed to show increases/decreases of proportion overtime ——>(trends are not shown)

  • Trying to identify relationship between 2 things

6
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What is a Bar Chart?

  • Data is usually grouped into categories using rectangular bars with the height of the bar representing the frequency for the category

  • These bars can be presented vertically/horizontally

  • One axis will show the categories being compared and the other axis will show the frequency.

7
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When to use a Bar Chart?

  • Data grouped into categories

  • Summarise a large amount of date clearly

  • Comparisons between different years

8
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When NOT to use a Bar Chart?

  • Needs to show qualitative data

  • Oversimplifies data and further explanations may be needed

9
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What is a Histogram?

  • It’s the distribution of quantitative data by showing frequency of data points

  • Represented through rectangles to show how frequently an outcomes occurs when data interval are successive

10
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When to use a Histogram?

  • Shape or distribution of large data set

  • Displays chronological categories of numerical data

  • If all data is numerical you can spot large differences in shape of the data

11
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When NOT to use a Histogram ?

  • Need to compare between different years

  • Need to use exact values as the data is grouped into intervals

  • Need to use large ranges

12
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What is a Line Graph?

  • Displays information using data points connected by line segments

  • It shows trends and continuous changes over a continuous period

13
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When to use a Line Graph?

  • Need to compare 2 or more variables

  • Need to present economic/financial data

  • Need to show the business performance and analyse market trends

  • Need to show changes overtime periods

14
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When NOT to use a Line Graph?

  • Need to use a large range of data then they become more difficult

  • Start values of data are very different

  • If you don’t have a lot of data otherwise line will imply you have more data than you collected

15
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What is a Map?

  • A map is only used to areas and geographical locations

  • It uses clear shading ,clear keys and indicators

  • Can be used to compare different regions

16
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When to use a Map?

  • If data is geographical

  • Need to compare different countries/regions

  • Need to present data in an attractive and effective way

17
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When NOT to use a Map?

  • If data does not relate to geographical areas

18
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What are Index Numbers?

  • Index numbers are used in order to make numerical data easier to understand

  • They are a useful method of showing changes overtime in data

  • E.g. price levels, consumer income levels or economic output.

  • Using index numbers allows data to be standardised overtime so that the data is easily comparable.

19
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How to work out questions using Index Numbers?

Worked Out Example:

<p><strong><em><u>Worked Out Example:</u></em></strong></p><p></p>