1 von 26

## Ähnlich wie Data Analysis Introduction.pptx

3. Statistical Analysis.pptx
3. Statistical Analysis.pptxjeyanthisivakumar

Introduction to statistics.pptx
Introduction to statistics.pptxMuddaAbdo1

Introduction to Biostatistics_20_4_17.ppt
Introduction to Biostatistics_20_4_17.pptnyakundi340

Chapter 11 quantitative data
Chapter 11 quantitative datau59

CHAPTER 2 - NORM, CORRELATION AND REGRESSION.ppt
CHAPTER 2 - NORM, CORRELATION AND REGRESSION.pptkriti137049

Descriptive_statistics - Sample 1.pptx
Descriptive_statistics - Sample 1.pptxSachinKumar524686

Statistical analysis
Statistical analysisXiuxia Du

Chapter 6.pptx Data Analysis and processing
Chapter 6.pptx Data Analysis and processingetebarkhmichale

Introduction to Data Analysis for Nurse Researchers
Introduction to Data Analysis for Nurse ResearchersRupa Verma

PARAMETRIC TESTS.pptx
PARAMETRIC TESTS.pptxDrLasya

Multivariate Analysis Techniques
Multivariate Analysis TechniquesMehul Gondaliya

Biostatistics and Research Methodology Semester 8
Biostatistics and Research Methodology Semester 8ParulSharma130721

Basic knowledge on statistics
Basic knowledge on statisticsSubodh Khanal

IDS-Unit-II. bachelor of computer applicatio notes
IDS-Unit-II. bachelor of computer applicatio notesAnkurTiwari813070

### Ähnlich wie Data Analysis Introduction.pptx(20)

3. Statistical Analysis.pptx
3. Statistical Analysis.pptx

Introduction to statistics.pptx
Introduction to statistics.pptx

Introduction to Biostatistics_20_4_17.ppt
Introduction to Biostatistics_20_4_17.ppt

Chapter 11 quantitative data
Chapter 11 quantitative data

BMS.ppt
BMS.ppt

Analysis
Analysis

CHAPTER 2 - NORM, CORRELATION AND REGRESSION.ppt
CHAPTER 2 - NORM, CORRELATION AND REGRESSION.ppt

Descriptive_statistics - Sample 1.pptx
Descriptive_statistics - Sample 1.pptx

PRESENTATION.pptx
PRESENTATION.pptx

Statistical analysis
Statistical analysis

Chapter 6.pptx Data Analysis and processing
Chapter 6.pptx Data Analysis and processing

determinatiion of
determinatiion of

Introduction to Data Analysis for Nurse Researchers
Introduction to Data Analysis for Nurse Researchers

PARAMETRIC TESTS.pptx
PARAMETRIC TESTS.pptx

Multivariate Analysis Techniques
Multivariate Analysis Techniques

Biostatistics and Research Methodology Semester 8
Biostatistics and Research Methodology Semester 8

ANALYSIS OF DATA.pptx
ANALYSIS OF DATA.pptx

Biostatistics ppt
Biostatistics ppt

Basic knowledge on statistics
Basic knowledge on statistics

IDS-Unit-II. bachelor of computer applicatio notes
IDS-Unit-II. bachelor of computer applicatio notes

## Mehr von DrAbhishekKumarSingh3

### Mehr von DrAbhishekKumarSingh3(6)

Microsoft word.pptx
Microsoft word.pptx

Data Preparation.pptx
Data Preparation.pptx

Sorting and Filtering.pptx
Sorting and Filtering.pptx

BASIC STRUCTURE OF COMPUTERS.pptx
BASIC STRUCTURE OF COMPUTERS.pptx

How to start writing a paper.pptx
How to start writing a paper.pptx

Optimization using lp.pptx
Optimization using lp.pptx

2024 WTF - what's working in mobile user acquisition
2024 WTF - what's working in mobile user acquisitionJohn Koetsier

Capstone Presentation Mangaldeep Kinjal Taletiya.pdf
Capstone Presentation Mangaldeep Kinjal Taletiya.pdfkinjaltaletiya7298

TAM Sports-IPL 17 Advertising Report- M01 - M15.xlsx - IPL 17 FCT (Commercial...
TAM Sports-IPL 17 Advertising Report- M01 - M15.xlsx - IPL 17 FCT (Commercial...Social Samosa

Catalogo Morakniv 2023 con la gama completa
Catalogo Morakniv 2023 con la gama completaEsteller

HAGAN_Katalog_Saison23-24_Overview_Preview
HAGAN_Katalog_Saison23-24_Overview_PreviewEsteller

Paul Russell Confidential Resume for Fahlo.pdf
Paul Russell Confidential Resume for Fahlo.pdfpaul8402

Catalogo Benchmade 2024 con la gama completa
Catalogo Benchmade 2024 con la gama completaEsteller

Catálogo Sea To Summit 2024 gama compelta
Catálogo Sea To Summit 2024 gama compeltaEsteller

20 Top Social Media Tips for Peer Specialists
20 Top Social Media Tips for Peer Specialistsmlicam615

Catálogo HYD 2024 gama completa Hydrapak
Catálogo HYD 2024 gama completa HydrapakEsteller

History of JWT by The Knowledge Center.pdf
History of JWT by The Knowledge Center.pdfwilliam charnock

Social Media Content Lecture for Advanced Digital & Social Media Strategy at ...
Social Media Content Lecture for Advanced Digital & Social Media Strategy at ...Valters Lauzums

Digital Marketing complete introduction.
Digital Marketing complete introduction.Kashish Bindra

Content Marketing: How To Find The True Value Of Your Marketing Funnel
Content Marketing: How To Find The True Value Of Your Marketing FunnelSearch Engine Journal

The Fall of Social Media Marketing :- Global brand magazine
The Fall of Social Media Marketing :- Global brand magazineglobalbrandmagazines1

Llanai Buyer Persona & Segmentation Strategy
Llanai Buyer Persona & Segmentation StrategyMarianna Nakou

Social Media Marketing Lecture for Advanced Digital & Social Media Strategy a...
Social Media Marketing Lecture for Advanced Digital & Social Media Strategy a...Valters Lauzums

Maximizing Your Website's Potential: Off-Page SEO Strategies
Maximizing Your Website's Potential: Off-Page SEO StrategiesUmeshChandra385380

Catalogo Spyderco 2024 gama completa Spyderco
Catalogo Spyderco 2024 gama completa SpydercoEsteller

2024 WTF - what's working in mobile user acquisition
2024 WTF - what's working in mobile user acquisition

Capstone Presentation Mangaldeep Kinjal Taletiya.pdf
Capstone Presentation Mangaldeep Kinjal Taletiya.pdf

TAM Sports-IPL 17 Advertising Report- M01 - M15.xlsx - IPL 17 FCT (Commercial...
TAM Sports-IPL 17 Advertising Report- M01 - M15.xlsx - IPL 17 FCT (Commercial...

Catalogo Morakniv 2023 con la gama completa
Catalogo Morakniv 2023 con la gama completa

HAGAN_Katalog_Saison23-24_Overview_Preview
HAGAN_Katalog_Saison23-24_Overview_Preview

Paul Russell Confidential Resume for Fahlo.pdf
Paul Russell Confidential Resume for Fahlo.pdf

Catalogo Benchmade 2024 con la gama completa
Catalogo Benchmade 2024 con la gama completa

Catálogo Sea To Summit 2024 gama compelta
Catálogo Sea To Summit 2024 gama compelta

20 Top Social Media Tips for Peer Specialists
20 Top Social Media Tips for Peer Specialists

Catálogo HYD 2024 gama completa Hydrapak
Catálogo HYD 2024 gama completa Hydrapak

History of JWT by The Knowledge Center.pdf
History of JWT by The Knowledge Center.pdf

Social Media Content Lecture for Advanced Digital & Social Media Strategy at ...
Social Media Content Lecture for Advanced Digital & Social Media Strategy at ...

Digital Marketing complete introduction.
Digital Marketing complete introduction.

Content Marketing: How To Find The True Value Of Your Marketing Funnel
Content Marketing: How To Find The True Value Of Your Marketing Funnel

The Fall of Social Media Marketing :- Global brand magazine
The Fall of Social Media Marketing :- Global brand magazine

Llanai Buyer Persona & Segmentation Strategy
Llanai Buyer Persona & Segmentation Strategy

Social Media Marketing Lecture for Advanced Digital & Social Media Strategy a...
Social Media Marketing Lecture for Advanced Digital & Social Media Strategy a...

Maximizing Your Website's Potential: Off-Page SEO Strategies
Maximizing Your Website's Potential: Off-Page SEO Strategies

Catalogo Spyderco 2024 gama completa Spyderco
Catalogo Spyderco 2024 gama completa Spyderco

### Data Analysis Introduction.pptx

• 1. Data Analysis Lab - 1 Introduction By Dr. Abhishek Kumar Singh
• 2. Student Introduction • Name • City and State • Education detail (graduation, XII and X)
• 3. • PhD (IIT BHU Varanasi) • M Tech (IIT BHU Varanasi) • B Tech (GBTU) • 3 Research Paper in SCOPUS/ABDC Indexed journals • 8 papers reviewed as a reviewer • Six sigma green belt
• 4. Content • Syllabus • Data Analysis • Variables • Univariate • Bivariate
• 5. Univariate Descriptive Analysis • Measures of Central Tendency- Mean, Median, Mode • Measures of Variability- Range, Variance, Standard Deviation, Co-efficient of Deviation • Measures of Shape- Skewness and Kurtosis • Measures of Stability- Standard Error
• 6. Bivariate Descriptive Analysis • Covariance • Correlation
• 7. Data Analysis • The Process of cleaning, transforming, interpreting, analyzing and visualizing the data to extract useful information and gain valuable insights to make more effective business decisions is called data analysis.
• 8. Variables • Variables: Any character, characteristics or quality that varies is termed a variable. • E.g.: To collect the basic clinical and demographic information on patients with particular illness. Variables of interest may include Gender (M/F), age and height of the patients.
• 9. Variable Categorical Numerical Nominal Ordinal Discrete Continuous Categories are mutually exclusive and unordered. Eg. Gender (M/F) Blood Group (A/B/AB/O) Categories are mutually exclusive and ordered. Eg. Disease severity (Mild, Moderate and Severe) Integer values, typically counts no notion of magnitude. Eg. No. of children vaccinated, days sick per year Takes any value in a range of values have a magnitude. E.g. weight in kg and Height in cm
• 10. Statistics Descriptive Inferential • Collecting • Organizing • Summarizing • Presenting Data • Making inference • Hypothesis testing • Determining relationship • Making Prediction
• 11. Three types of analysis • Univariate analysis: the examination of cases on only one variable at a time (e.g., weight of college students). • Bivariate analysis: the examination of two variables simultaneously (e.g., the relation between gender and weight of college students). • Multivariate analysis: examination of two variables simultaneously (e.g., the relationship between gender, race, and weight of college students).
• 12. Purpose of different type of analysis • Univariate analysis: mainly description • Bivariate analysis: Determining the empirical relationship between two variables. • Multivariate analysis: Determining the empirical relationship among multiple variables.
• 13. Univariate • The objective of univariate analysis is to derive the data, define and summarize it and analyze the pattern present in it. • Univariate techniques are appropriate when there is a single measurement of each element in the sample or when there are several measurements of each element but each variable is analyzed in isolation.
• 14. Univariate Descriptive Inferential • Measures of Central Tendency- Mean, Median, Mode • Measures of Variability- Range, Variance, Standard Deviation, Co-efficient of Deviation • Measures of Shape- Skewness and Kurtosis • Measures of Stability- Standard Error • z test • t test • Chi square test
• 15. Numerical Methods • Mean – Let X1, X2, X3,….Xn be the n data points, then mean of data is defined as – Mean provide the central value about which the data is spread out.
• 16. Numerical Methods • Median – Median is the value which divide the data in two halves – Let X1, X2, X3,….Xn be the n data points – Order the n data values – If the number of data points is odd then sample median is the value in position of (n+1)/2 – If the number of data points is even then sample median is the average of value in position of n/2 and (n/2+1)
• 17. Mean or Median? • Both the measures provide the “middle” value of data, so how do they compare? – Median is robust again extreme values in the data – While mean is affected by the extreme values • Example: 8, 9, 10, 11, 12 be the five data points – Mean = 10 and Median = 10 – Replace 12 by 18 • Mean = 11.2 but Median =10
• 18. Numerical Methods • Mode – Mode is the a value in data that occurs with highest frequency – It’s the most probable value of the data – It is possible to have data that has more than one Mode value. Such data is called multimodal.
• 19. Measures of Variability • Percentile – Order the data in ascending order • Then, p1 in called the first percentile if 1% of points lie below this value • Similarly pk is called the k% of data points lie below this value, where 0≤k≤100 • Quartile – P25 is called the 1st quartile Q1 – P75 is called the 3rd quartile Q3 – P50 is Median
• 20. Measure of Dispersion • Measures the spread of data – Range – Variation or standard deviation • Measures the spread about mean/average value of data – Interquartile range • Measures the spread about median value of the data
• 21. Measure of Dispersion • Range = M-m, where, – M = Max (x1, x2, ….xn) – m = Min (x1, x2, ….xn) • Variance – S2 = – Standard deviation = S • Interquartile range: Q3 - Q1
• 22. Standard Deviation • Standard Deviation is most commonly used measure of dispersion. – Under the assumption of normality the range of Covers 67% of the data. • Hence, this is commonly used to show possible error in the observed value of data
• 23. Graphical Method • Histogram or Bar chart – Frequency Plot • Pie Chart • Cumulative frequency plot • Box and Whisker plot
• 24.
• 25.
• 26. Bivariate • Bi means two and variate means variable, so here there are two variables. The analysisis related to cause and the relationship between the two variables. • Correlation • Covariance
Aktuelle SpracheEnglish
Español
Portugues
Français
Deutsche