SlideShare a Scribd company logo
EXPLORATORY DATA ANALYSIS
STRATEGY TO MAKE DATA-DRIVEN BUSINESS DECISIONS
NON COMMERCIAL ANALYSIS
 The following three slides quantify the various parameters of Non Commercial establishments and provide
Insights into the given data
In-Depth Analysis of Provided Data for
Shaun's Company
• The Data indicates a
Significant Difference
between Newly
established organizations
and pre-existing ones
older than 5 Years as a
sign of maturity in the
market across segments
• Over 11 Non-Comm
Institutes seem to have
revenue greater than $5B
all of which are older than
5 Years
• The following slide shows
the Break-Up revenue-wise
3
3
5
8
9
4
11
18
11
0 2 4 6 8 10 12 14 16 18 20
$1,000,001 - $2,500,000
$2,500,001 - $5,000,000
$500,001 - $1,000,000
<=$500,000
>$5,000,000
Chart Title
5 YEARS PLUS
2 TO 5 YEARS
36%
34%
7%
7%
7%
5%
3% 1%
NON-COMM
4 YEAR COLLEGE & UNIVERSITIES
PRIMARY SCHOOL
2 YEAR COLLEGE & UNIVERSITIES
AFFILIATED BUILDINGS
CENTERS FOR REHABILITATION AND READAPTION, ADULT DAY
CARE
TECHNICAL AND TRADE SCHOOLS
SECONDARY SCHOOL
HOSPITALS
SENIOR LIVING
OTHER HEALTHCARE ESTABLISHMENTS
ASSISTED LIVING
SCHOOL DISTRICTS
NURSING HOME
SEGMENT-WISE DISTRIBUTION OF INSTITUTES
0
50
100
150
200
250
PRIVATE
PUBLIC
RELIGIOUS
RESTAURANT & FOOD OUTLETS ANALYSIS
I HAVE DONE AN IN-DEPTH ANALYSIS OF THE GIVEN DATA SET TO DETERMINE THE REVENUE FROM FOOD &
BEVERAGE SALES
RESTAURANT MARKET AT A GLANCE
FSR - CAF╔-RESTAURANTS, FAMILY-
STYLE, DINER
FSR - FINE DINING RESTAURANTS
FSR - TRADITIONAL RESTAURANTS,
CASUAL DINING
FSR - UPSCALE CASUAL DINING
RESTAURANTS
LSR - COFFEE SHOPS, TEA HOUSES
LSR - QUICK CASUAL
LSR - QUICK SERVICE
RESTAURANTS, FAST FOOD, SNACKS
RESTAURANT MARKET AT A GLANCE
CA
FL
NC
NY
PA
TX
VA
Food Distribution Market Segment Wise
0 2000000 4000000 6000000 8000000 1000000012000000140000001600000018000000
FSR - CAF╔-RESTAURANTS, FAMILY-STYLE, DINER
FSR - FINE DINING RESTAURANTS
FSR - TRADITIONAL RESTAURANTS, CASUAL DINING
FSR - UPSCALE CASUAL DINING RESTAURANTS
LSR - BUFFET RESTAURANTS
LSR - COFFEE SHOPS, TEA HOUSES
LSR - DELIVERY AND TAKE AWAY ONLY
LSR - QUICK CASUAL
LSR - QUICK SERVICE RESTAURANTS, FAST FOOD, SNACKS
STEAK, SEAFOOD & FISH
SANDWICHES, SOUPS AND SALADS, DELI, SUBS & HOT DOG
PIZZA, PASTA & ITALIAN
OTHER ASIAN
MEXICAN
HAMBURGERS
CLASSIC & VARIED MENU
CHICKEN
BEVERAGES
AMERICAN AND AMERICAN TRADITIONAL
0 10000000 20000000 30000000 40000000 50000000 60000000 70000000
FSR - CAF╔-RESTAURANTS, FAMILY-STYLE, DINER
FSR - FINE DINING RESTAURANTS
FSR - TRADITIONAL RESTAURANTS, CASUAL DINING
FSR - UPSCALE CASUAL DINING RESTAURANTS
LSR - BUFFET RESTAURANTS
LSR - COFFEE SHOPS, TEA HOUSES
LSR - DELIVERY AND TAKE AWAY ONLY
LSR - ICE CREAM PARLORS, FROZEN DESSERTS
LSR - QUICK CASUAL
LSR - QUICK SERVICE RESTAURANTS, FAST FOOD, SNACKS
Market Segment Distribution
Total
0 5000000 10000000 15000000 20000000 25000000 30000000 35000000
FSR - CAF╔-RESTAURANTS, FAMILY-STYLE, DINER
FSR - FINE DINING RESTAURANTS
FSR - TRADITIONAL RESTAURANTS, CASUAL DINING
FSR - UPSCALE CASUAL DINING RESTAURANTS
LSR - BUFFET RESTAURANTS
LSR - COFFEE SHOPS, TEA HOUSES
LSR - DELIVERY AND TAKE AWAY ONLY
LSR - ICE CREAM PARLORS, FROZEN DESSERTS
LSR - QUICK CASUAL
LSR - QUICK SERVICE RESTAURANTS, FAST FOOD, SNACKS
Sum of Company Sales
Sum of Competitor Sales
STATE-WISE DISTRIBUTION OF TOTAL REVENUE VS SHAUNS REVENUE VS COMPETITORS REVENUE
CA has the highest revenue among all the other States followed by TX and the state of NY has the lowest
revenue
0
5000000
10000000
15000000
20000000
25000000
CA FL NC NY PA TX VA
Sum of Competitor Share
Sum of Company Share
RETAIL STORE ANALYSIS
0
100
200
300
400
500
600
CT KY MA
CONFECTIONERS
CONVENIENCE STORES
FISH & SEAFOOD MARKET
FRUIT AND VEGETABLE MARKETS
GAS STATIONS
GROCERY STORES (LIMITED CHANNEL
DISTRIBUTOR)
LIQUOR STORES
MEAT MARKET
OTHER FOOD SPECIALIST RETAILERS
According to the observation
made in the Retail Store Space,
concerning units of sales
• Grocery stores are amongst
the highest revenue-
generating followed by the
Liquor market
• The state of KY has recorded
the highest number of sales
followed by CT and MA
• Apart from these three, others
seem to have a negligible
amount of units sold
• Grocery outlet would be the
highest revenue-generating
business is the observation
made here

More Related Content

Similar to Exploratory Data Analysis - Dilip S.pptx

Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016
Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016
Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016
JBHackk
 
Project Management | 20 Minutes | Restaurant Pitch | Business Case
Project Management | 20 Minutes | Restaurant Pitch | Business CaseProject Management | 20 Minutes | Restaurant Pitch | Business Case
Project Management | 20 Minutes | Restaurant Pitch | Business Case
Saurav Gupta
 
Otts retail overview 03 15
Otts retail overview 03 15Otts retail overview 03 15
Otts retail overview 03 15
Nick Cole
 
FSP core retailer services - Site Selection Support, Benchmarking and Locatio...
FSP core retailer services - Site Selection Support, Benchmarking and Locatio...FSP core retailer services - Site Selection Support, Benchmarking and Locatio...
FSP core retailer services - Site Selection Support, Benchmarking and Locatio...
Pragma Consulting
 
Entrepreneurship Chapter 10 Ethan Chazin
Entrepreneurship Chapter 10 Ethan ChazinEntrepreneurship Chapter 10 Ethan Chazin
Entrepreneurship Chapter 10 Ethan Chazin
Ethan Chazin MBA
 
Black white
Black whiteBlack white
Black white
Muhammad Naim
 
July 2015 Market Report
July 2015 Market ReportJuly 2015 Market Report
July 2015 Market Report
Robbie Breaux & Team
 
eCommerce Presentation - Myths vs Realty in Omnichannel Retail
eCommerce Presentation - Myths vs Realty in Omnichannel RetaileCommerce Presentation - Myths vs Realty in Omnichannel Retail
eCommerce Presentation - Myths vs Realty in Omnichannel Retail
NeighborWorks Orange County
 
Westside Future Fund Retail Baseline (in progress)
Westside Future Fund Retail Baseline (in progress)Westside Future Fund Retail Baseline (in progress)
Westside Future Fund Retail Baseline (in progress)
JBHackk
 
Share of Visit: Focus on the Customer Journey By Drew Breunig
Share of Visit: Focus on the Customer Journey By Drew BreunigShare of Visit: Focus on the Customer Journey By Drew Breunig
Share of Visit: Focus on the Customer Journey By Drew Breunig
Search Marketing Expo - SMX
 
Abc 2014
Abc 2014Abc 2014
Abc 2014
Mark Semmler
 
Che Presentation
Che PresentationChe Presentation
Che Presentation
Alex Hsu
 
ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!
ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!
ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!
ThinkNow
 
SCENT-300 Marketing Plan
SCENT-300 Marketing PlanSCENT-300 Marketing Plan
SCENT-300 Marketing Plan
Arnold Alberga
 
Westside Future Fund Retail Market Analysis June 2016
Westside Future Fund Retail Market Analysis June 2016Westside Future Fund Retail Market Analysis June 2016
Westside Future Fund Retail Market Analysis June 2016
JBHackk
 
Angela itambo series how to start outdoor catering
Angela itambo series how to start outdoor cateringAngela itambo series how to start outdoor catering
Angela itambo series how to start outdoor catering
Angela Ihunweze
 
Marketing Research 101
Marketing Research 101Marketing Research 101
Marketing Research 101
lizbreed
 
1 up success ppt
1 up success ppt1 up success ppt
1 up success ppt
oneupsucces
 
6000 NY Restaurants Delivery Reservation
6000 NY Restaurants Delivery Reservation6000 NY Restaurants Delivery Reservation
6000 NY Restaurants Delivery Reservation
Sumeet Mayor
 
Bp Tx 091409
Bp Tx 091409Bp Tx 091409
Bp Tx 091409
khubert
 

Similar to Exploratory Data Analysis - Dilip S.pptx (20)

Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016
Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016
Westside Future Fund Retail Market Analysis & Recommendations Sept. 2016
 
Project Management | 20 Minutes | Restaurant Pitch | Business Case
Project Management | 20 Minutes | Restaurant Pitch | Business CaseProject Management | 20 Minutes | Restaurant Pitch | Business Case
Project Management | 20 Minutes | Restaurant Pitch | Business Case
 
Otts retail overview 03 15
Otts retail overview 03 15Otts retail overview 03 15
Otts retail overview 03 15
 
FSP core retailer services - Site Selection Support, Benchmarking and Locatio...
FSP core retailer services - Site Selection Support, Benchmarking and Locatio...FSP core retailer services - Site Selection Support, Benchmarking and Locatio...
FSP core retailer services - Site Selection Support, Benchmarking and Locatio...
 
Entrepreneurship Chapter 10 Ethan Chazin
Entrepreneurship Chapter 10 Ethan ChazinEntrepreneurship Chapter 10 Ethan Chazin
Entrepreneurship Chapter 10 Ethan Chazin
 
Black white
Black whiteBlack white
Black white
 
July 2015 Market Report
July 2015 Market ReportJuly 2015 Market Report
July 2015 Market Report
 
eCommerce Presentation - Myths vs Realty in Omnichannel Retail
eCommerce Presentation - Myths vs Realty in Omnichannel RetaileCommerce Presentation - Myths vs Realty in Omnichannel Retail
eCommerce Presentation - Myths vs Realty in Omnichannel Retail
 
Westside Future Fund Retail Baseline (in progress)
Westside Future Fund Retail Baseline (in progress)Westside Future Fund Retail Baseline (in progress)
Westside Future Fund Retail Baseline (in progress)
 
Share of Visit: Focus on the Customer Journey By Drew Breunig
Share of Visit: Focus on the Customer Journey By Drew BreunigShare of Visit: Focus on the Customer Journey By Drew Breunig
Share of Visit: Focus on the Customer Journey By Drew Breunig
 
Abc 2014
Abc 2014Abc 2014
Abc 2014
 
Che Presentation
Che PresentationChe Presentation
Che Presentation
 
ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!
ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!
ThinkNow Research - Affluent Hispanics... They've Got Money and They Spend It!
 
SCENT-300 Marketing Plan
SCENT-300 Marketing PlanSCENT-300 Marketing Plan
SCENT-300 Marketing Plan
 
Westside Future Fund Retail Market Analysis June 2016
Westside Future Fund Retail Market Analysis June 2016Westside Future Fund Retail Market Analysis June 2016
Westside Future Fund Retail Market Analysis June 2016
 
Angela itambo series how to start outdoor catering
Angela itambo series how to start outdoor cateringAngela itambo series how to start outdoor catering
Angela itambo series how to start outdoor catering
 
Marketing Research 101
Marketing Research 101Marketing Research 101
Marketing Research 101
 
1 up success ppt
1 up success ppt1 up success ppt
1 up success ppt
 
6000 NY Restaurants Delivery Reservation
6000 NY Restaurants Delivery Reservation6000 NY Restaurants Delivery Reservation
6000 NY Restaurants Delivery Reservation
 
Bp Tx 091409
Bp Tx 091409Bp Tx 091409
Bp Tx 091409
 

Recently uploaded

Cell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docxCell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docx
vasanthatpuram
 
Build applications with generative AI on Google Cloud
Build applications with generative AI on Google CloudBuild applications with generative AI on Google Cloud
Build applications with generative AI on Google Cloud
Márton Kodok
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
hyfjgavov
 
Template xxxxxxxx ssssssssssss Sertifikat.pptx
Template xxxxxxxx ssssssssssss Sertifikat.pptxTemplate xxxxxxxx ssssssssssss Sertifikat.pptx
Template xxxxxxxx ssssssssssss Sertifikat.pptx
TeukuEriSyahputra
 
ML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
ML-PPT-UNIT-2 Generative Classifiers Discriminative ClassifiersML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
ML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
MastanaihnaiduYasam
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
mkkikqvo
 
How To Control IO Usage using Resource Manager
How To Control IO Usage using Resource ManagerHow To Control IO Usage using Resource Manager
How To Control IO Usage using Resource Manager
Alireza Kamrani
 
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
uevausa
 
一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理
一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理
一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理
actyx
 
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
z6osjkqvd
 
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
ytypuem
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
SaffaIbrahim1
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
ElizabethGarrettChri
 
一比一原版悉尼大学毕业证如何办理
一比一原版悉尼大学毕业证如何办理一比一原版悉尼大学毕业证如何办理
一比一原版悉尼大学毕业证如何办理
keesa2
 
A gentle exploration of Retrieval Augmented Generation
A gentle exploration of Retrieval Augmented GenerationA gentle exploration of Retrieval Augmented Generation
A gentle exploration of Retrieval Augmented Generation
dataschool1
 
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
eoxhsaa
 
一比一原版卡尔加里大学毕业证(uc毕业证)如何办理
一比一原版卡尔加里大学毕业证(uc毕业证)如何办理一比一原版卡尔加里大学毕业证(uc毕业证)如何办理
一比一原版卡尔加里大学毕业证(uc毕业证)如何办理
oaxefes
 
一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理
一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理
一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理
asyed10
 
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
9gr6pty
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
Timothy Spann
 

Recently uploaded (20)

Cell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docxCell The Unit of Life for NEET Multiple Choice Questions.docx
Cell The Unit of Life for NEET Multiple Choice Questions.docx
 
Build applications with generative AI on Google Cloud
Build applications with generative AI on Google CloudBuild applications with generative AI on Google Cloud
Build applications with generative AI on Google Cloud
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
 
Template xxxxxxxx ssssssssssss Sertifikat.pptx
Template xxxxxxxx ssssssssssss Sertifikat.pptxTemplate xxxxxxxx ssssssssssss Sertifikat.pptx
Template xxxxxxxx ssssssssssss Sertifikat.pptx
 
ML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
ML-PPT-UNIT-2 Generative Classifiers Discriminative ClassifiersML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
ML-PPT-UNIT-2 Generative Classifiers Discriminative Classifiers
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
 
How To Control IO Usage using Resource Manager
How To Control IO Usage using Resource ManagerHow To Control IO Usage using Resource Manager
How To Control IO Usage using Resource Manager
 
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
 
一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理
一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理
一比一原版斯威本理工大学毕业证(swinburne毕业证)如何办理
 
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
 
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
一比一原版(曼大毕业证书)曼尼托巴大学毕业证如何办理
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
 
一比一原版悉尼大学毕业证如何办理
一比一原版悉尼大学毕业证如何办理一比一原版悉尼大学毕业证如何办理
一比一原版悉尼大学毕业证如何办理
 
A gentle exploration of Retrieval Augmented Generation
A gentle exploration of Retrieval Augmented GenerationA gentle exploration of Retrieval Augmented Generation
A gentle exploration of Retrieval Augmented Generation
 
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
一比一原版多伦多大学毕业证(UofT毕业证书)学历如何办理
 
一比一原版卡尔加里大学毕业证(uc毕业证)如何办理
一比一原版卡尔加里大学毕业证(uc毕业证)如何办理一比一原版卡尔加里大学毕业证(uc毕业证)如何办理
一比一原版卡尔加里大学毕业证(uc毕业证)如何办理
 
一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理
一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理
一比一原版美国帕森斯设计学院毕业证(parsons毕业证书)如何办理
 
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
一比一原版(uob毕业证书)伯明翰大学毕业证如何办理
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
 

Exploratory Data Analysis - Dilip S.pptx

  • 1. EXPLORATORY DATA ANALYSIS STRATEGY TO MAKE DATA-DRIVEN BUSINESS DECISIONS
  • 2. NON COMMERCIAL ANALYSIS  The following three slides quantify the various parameters of Non Commercial establishments and provide Insights into the given data
  • 3. In-Depth Analysis of Provided Data for Shaun's Company • The Data indicates a Significant Difference between Newly established organizations and pre-existing ones older than 5 Years as a sign of maturity in the market across segments • Over 11 Non-Comm Institutes seem to have revenue greater than $5B all of which are older than 5 Years • The following slide shows the Break-Up revenue-wise 3 3 5 8 9 4 11 18 11 0 2 4 6 8 10 12 14 16 18 20 $1,000,001 - $2,500,000 $2,500,001 - $5,000,000 $500,001 - $1,000,000 <=$500,000 >$5,000,000 Chart Title 5 YEARS PLUS 2 TO 5 YEARS
  • 4. 36% 34% 7% 7% 7% 5% 3% 1% NON-COMM 4 YEAR COLLEGE & UNIVERSITIES PRIMARY SCHOOL 2 YEAR COLLEGE & UNIVERSITIES AFFILIATED BUILDINGS CENTERS FOR REHABILITATION AND READAPTION, ADULT DAY CARE TECHNICAL AND TRADE SCHOOLS SECONDARY SCHOOL HOSPITALS SENIOR LIVING OTHER HEALTHCARE ESTABLISHMENTS ASSISTED LIVING SCHOOL DISTRICTS NURSING HOME
  • 5. SEGMENT-WISE DISTRIBUTION OF INSTITUTES 0 50 100 150 200 250 PRIVATE PUBLIC RELIGIOUS
  • 6. RESTAURANT & FOOD OUTLETS ANALYSIS I HAVE DONE AN IN-DEPTH ANALYSIS OF THE GIVEN DATA SET TO DETERMINE THE REVENUE FROM FOOD & BEVERAGE SALES
  • 7. RESTAURANT MARKET AT A GLANCE FSR - CAF╔-RESTAURANTS, FAMILY- STYLE, DINER FSR - FINE DINING RESTAURANTS FSR - TRADITIONAL RESTAURANTS, CASUAL DINING FSR - UPSCALE CASUAL DINING RESTAURANTS LSR - COFFEE SHOPS, TEA HOUSES LSR - QUICK CASUAL LSR - QUICK SERVICE RESTAURANTS, FAST FOOD, SNACKS RESTAURANT MARKET AT A GLANCE CA FL NC NY PA TX VA
  • 8. Food Distribution Market Segment Wise 0 2000000 4000000 6000000 8000000 1000000012000000140000001600000018000000 FSR - CAF╔-RESTAURANTS, FAMILY-STYLE, DINER FSR - FINE DINING RESTAURANTS FSR - TRADITIONAL RESTAURANTS, CASUAL DINING FSR - UPSCALE CASUAL DINING RESTAURANTS LSR - BUFFET RESTAURANTS LSR - COFFEE SHOPS, TEA HOUSES LSR - DELIVERY AND TAKE AWAY ONLY LSR - QUICK CASUAL LSR - QUICK SERVICE RESTAURANTS, FAST FOOD, SNACKS STEAK, SEAFOOD & FISH SANDWICHES, SOUPS AND SALADS, DELI, SUBS & HOT DOG PIZZA, PASTA & ITALIAN OTHER ASIAN MEXICAN HAMBURGERS CLASSIC & VARIED MENU CHICKEN BEVERAGES AMERICAN AND AMERICAN TRADITIONAL
  • 9. 0 10000000 20000000 30000000 40000000 50000000 60000000 70000000 FSR - CAF╔-RESTAURANTS, FAMILY-STYLE, DINER FSR - FINE DINING RESTAURANTS FSR - TRADITIONAL RESTAURANTS, CASUAL DINING FSR - UPSCALE CASUAL DINING RESTAURANTS LSR - BUFFET RESTAURANTS LSR - COFFEE SHOPS, TEA HOUSES LSR - DELIVERY AND TAKE AWAY ONLY LSR - ICE CREAM PARLORS, FROZEN DESSERTS LSR - QUICK CASUAL LSR - QUICK SERVICE RESTAURANTS, FAST FOOD, SNACKS Market Segment Distribution Total 0 5000000 10000000 15000000 20000000 25000000 30000000 35000000 FSR - CAF╔-RESTAURANTS, FAMILY-STYLE, DINER FSR - FINE DINING RESTAURANTS FSR - TRADITIONAL RESTAURANTS, CASUAL DINING FSR - UPSCALE CASUAL DINING RESTAURANTS LSR - BUFFET RESTAURANTS LSR - COFFEE SHOPS, TEA HOUSES LSR - DELIVERY AND TAKE AWAY ONLY LSR - ICE CREAM PARLORS, FROZEN DESSERTS LSR - QUICK CASUAL LSR - QUICK SERVICE RESTAURANTS, FAST FOOD, SNACKS Sum of Company Sales Sum of Competitor Sales
  • 10. STATE-WISE DISTRIBUTION OF TOTAL REVENUE VS SHAUNS REVENUE VS COMPETITORS REVENUE CA has the highest revenue among all the other States followed by TX and the state of NY has the lowest revenue 0 5000000 10000000 15000000 20000000 25000000 CA FL NC NY PA TX VA Sum of Competitor Share Sum of Company Share
  • 11. RETAIL STORE ANALYSIS 0 100 200 300 400 500 600 CT KY MA CONFECTIONERS CONVENIENCE STORES FISH & SEAFOOD MARKET FRUIT AND VEGETABLE MARKETS GAS STATIONS GROCERY STORES (LIMITED CHANNEL DISTRIBUTOR) LIQUOR STORES MEAT MARKET OTHER FOOD SPECIALIST RETAILERS According to the observation made in the Retail Store Space, concerning units of sales • Grocery stores are amongst the highest revenue- generating followed by the Liquor market • The state of KY has recorded the highest number of sales followed by CT and MA • Apart from these three, others seem to have a negligible amount of units sold • Grocery outlet would be the highest revenue-generating business is the observation made here