PFDA,CHAPTER4 Flashcards

1
Q
A
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2
Q

The main four types of data analytics

A
  1. Descriptive Analytics
  2. Digaonstic Analytics
  3. Perdictive Analytics
  4. Prespective Analytics
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3
Q

Descriptive Analytics

A

Studies past data to understand events

Helps find trends, patterns, and unusual data

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4
Q

Diagonstic

A

Figure out the reasons behind past events

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5
Q

Predictive

A

Predicts future event based on historical data

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6
Q

Prescriptive

A

Recommends actions or decisions to achieve the best results

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7
Q

Statistical/Mathematical:

A

Uses mathematical and statistical methods like mean, median, and variance to understand the data. It includes techniques like regression analysis, correlation, time series, and frequency distribution.

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8
Q

Visualization:

A

Uses charts and graphs to present data visually, making it easier to understand.

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9
Q
  1. Machine Learning & AI
A

Applies machine learning and AI techniques for deeper and more advanced data analysis.

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10
Q

Visualization Techniques

A

Visualization transforms processed data into graphical forms to highlight patterns, trends, and insights not easily seen in raw data.

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11
Q

Column Chart/Bar Chart /

A

o Used to show numerical differences between categories.

o Bar charts interchange axes compared to column charts.

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12
Q

Histograms / المدرج التكراري

A

A type of bar chart used to show data distribution for a continuous variable.

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13
Q

Line Chart / الرسم البياني الخطي

A

Displays changes over time, helping to identify trends.

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14
Q

Area Chart / الرسم البياني المساحي

A

: Similar to a line chart but fills the area under the line with color to emphasize trends.

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15
Q

Pie Chart / الرسم البياني الدائري

A

Represents proportions of different categories, suitable for one dataset.

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16
Q

Funnel Chart / الرسم البياني القمعي

A

Visualizes proportions for stages, useful for comparing rankings.

17
Q

Word Cloud Chart / الرسم السحابي للكلمات

A

Displays text data visually, highlighting frequently occurring words.

18
Q

Heatmap / خريطة الحرارة

A

Uses color intensity to represent data values, often in grids.

19
Q

Radar Chart / الرسم البياني الراداري

A

Compares multiple variables by showing their values as a polygon.

20
Q

Bubble Chart / الرسم البياني الفقاعي

A

Similar to a scatter plot but uses bubble sizes to represent a third variable.

21
Q

Gantt Chart / مخطط جانت

A

Visualizes project timelines and progress relative to requirements.

22
Q

Scatter Plot / الرسم النقطي

A

Shows relationships between two variables on a Cartesian plane.

23
Q

Boxplot / الرسم الصندوقي

A

Summarizes statistical measures and highlights outliers in the data.

24
Q

Stem-and-Leaf Plot / مخطط الساق والورقة

A

Organizes small datasets while preserving the actual data values.

25
Q

Descriptive Analytics

A

it tells you what happend in the past , and it focuses on summarizing historcal data to indentify pattrens , and trends

26
Q

3 main categories of techniques

A
  1. Statistical/Mathematical:
  2. Visualization:
  3. Machine Learning & AI: