Employees Employee ID Last Name First Name Gender Title ID S

Employeesemployeeidlastnamefirstnamegendertitleidsalarylocationidperfo

Employees EmployeeID LastName FirstName Gender TitleID Salary LocationID Performance 10000 Ship Joellen F T L04 Average 10166 Harris Jennifer F T L02 Average 10398 Worley Gary M T L07 Average 10552 Tobin Yolanda F T L03 Good 10640 Lacher Tom M T L01 Good 10710 Smith Johnny M T L07 Poor 10936 Buhler Natalee F T L03 Excellent 11048 North Randy M T L02 Excellent 11290 Shuffield Jan F T L02 Good 11390 Bland Jane F T L06 Average 11447 Spillis Steve M T L04 Good 11493 Thompson Ashley F T L06 Excellent 11828 Fantis Laurie F T L01 Good 12080 Bailey Robert M T L05 Excellent 12276 Barnes Jeb M T L02 Excellent 12524 Nichols Kathy F T L05 Excellent 12548 Battle Susannah F T L12 Good 12955 Schultz Judge M T L07 Poor 12961 Fleming Karen F T L01 Average 13153 Krissel Chriss F T L06 Average 13423 Bob Susan F T L03 Average 13694 Jones Danette F T L05 Good 13823 Trice Suzy F T L05 Poor 14196 Mc Key Boo F T L01 Good 14426 Anderson Valerie F T L04 Good 14518 Stack Scott M T L05 Poor 14547 Michael Bea F T L02 Poor 14548 Mills Marion F T L03 Good 14696 Daniels Phil M T L01 Good 14752 Strafaci Betty F T L02 Good 14997 Edmunds Jack M T L12 Good 15245 Jefferson Debbie F T L07 Good 15271 Park Johnny M T L01 Excellent 15696 Johnson Debbie F T L01 Excellent 15903 Bartolini Bart M T L11 Excellent 16018 Everett Kyle M T L07 Excellent 16401 Flint Arnold M T L03 Average 16424 Erpf Dan M T L08 Average 16654 Drubin Lolly F T L01 Good 16850 Newcomm Henry M T L03 Average 16890 Payne Reggie M T L04 Good 17226 Trane Larry M T L04 Average 17673 Tamer Bill M T L08 Average 17699 Titley David M T L01 Good 17762 Edelman Linda F T L02 Good 17845 Mason Cara F T L07 Good 18016 Guilford Jerry M T L03 Average 19340 Cambell Morgan F T L04 Average 19469 Vergaldi Mark M T L06 Excellent 19559 Center Michelle F T L02 Excellent 19757 Hoffman Heidi F T L05 Average 19916 Felsher Laura F T L04 Excellent 19968 Fishe Karen F T L02 Good 20014 Parsley Eileen F T L02 Good 20151 Wilson Holly F T L11 Good 20228 Justice Dainey F T L11 Good 20246 Mills Barbara F T L04 Average 20477 Maragni Cindy F T L08 Average 20607 Grippando Joan F T L01 Average 20662 Block Leonard M T L01 Excellent 20719 Cooper Rick M T L10 Average 20966 Diamond Gary M T L05 Excellent 21094 Bray Sarah F T L11 Excellent 21301 Sade Leslie F T L08 Average 21528 Martin Carole F T L10 Excellent 21743 Smith Deborah F T L10 Average 21766 Brasington Shelly F T L02 Excellent 21965 Duffy Liz F T L03 Excellent 22084 Park Tiffany F T L02 Average 23123 Parker Terri F T L04 Average 23164 Mills Jack M T L01 Average 23303 Aikman Dino M T L03 Average 23411 Nagel Mimi F T L01 Average 23422 Dowling Marilyn F T L06 Average 23480 Rammos Mitzi F T L01 Excellent 23484 Mc Dougal Bridget F T L06 Excellent 23522 Munroe Agnes F T L10 Average 23757 Corlett Meg F T L07 Excellent 23837 Dill Marjorie F T L02 Excellent 24334 Edmunds George M T L11 Good 24459 Fairbairn Ron M T L06 Good 24774 Heatley Jane F T L03 Average 24997 Magenheimer Carolyn F T L11 Average 25190 Ray Clay M T L04 Excellent 25398 Tarbe Barbara F T L10 Average 26517 Fischler Laura F T L05 Good 26679 Payne Joan F T L03 Average 26813 Kahn Crystal F T L08 Average 26896 Glasson Cynthia F T L04 Average 27474 Restery Barney M T L05 Excellent 27623 Rapee Missy F T L03 Excellent 27633 Ford Julie F T L04 Average 27956 Sapp Kristen F T L10 Good 27960 Goldstein Manny M T L05 Good 28158 Cobb Meredith F T L12 Good 28588 Moran Angela F T L05 Average 28790 Wynperle Betsy F T L06 Average 29187 Kickman George M T L07 Excellent 29401 Pearce Ramsey F T L05 Excellent 29540 Guiterrez Joan F T L04 Average 29772 Carlo Morgan F T L05 Excellent 29865 Vieth Paula F T L01 Good 30179 Hood Georgia F T L11 Good 30197 Walker Bob M T L04 Average 30420 Mulva Allison F T L08 Average 30525 Voell Michelle F T L03 Average 30646 Parmenter Robert M T L05 Excellent 31028 Park Jack M T L03 Excellent 31222 Freyer Cynthia F T L05 Poor 31225 Sheridan Judy F T L03 Excellent 31388 Skor Jessica F T L12 Average 31427 Bonds Sofi F T L05 Excellent 31619 Novicheck Deborah F T L01 Good 31857 Murphy Paula F T L06 Good 32196 Bermont William M T L10 Average 32322 Strump Jay M T L12 Average 32699 Brumbaugh Paige F T L01 Average 32849 Strump Betsy F T L11 Excellent 33060 Morteleo Judson M T L11 Average 33382 Whiting Kathy F T L02 Good 33517 Lane Chris F T L03 Good 33592 Brooks Patty F T L10 Good 34030 Siegal Jamie F T L11 Average 34162 Bell Roni M T L08 Average 34336 Newman Lynn F T L04 Excellent 34368 Ogilby Cheryl F T L03 Excellent 34371 Brickey Sandra F T L12 Average 34496 Ronald Margaret F T L02 Excellent 35016 Smith Jessica F T L06 Good 35017 Gonzalez Frank M T L02 Good 35282 Brown Patsy F T L07 Average 35751 McGrath Becky F T L05 Excellent 35986 Miller Barbara F T L06 Excellent 36219 George Julia F T L03 Excellent 36631 Wood Debby F T L08 Good 36793 Lazenby Jeff M T L05 Good 36827 Freyre Julianne F T L02 Average 37051 Munroe Alexandra F T L07 Average 37120 Cleos Michele F T L11 Average 37365 Bobbitt Mike M T L04 Excellent 37444 Eckblom Linda F T L05 Excellent 37611 Bianch Arthur M T L07 Average 37781 Eckblom Lisa F T L04 Good 37825 Morrison Andrea F T L02 Good 38037 Kelly Clara F T L10 Good 38117 Herst Heidi F T L04 Average 38280 Cybert Emit M T L06 Average 38285 Johnson Jimmy M T L03 Average 38524 Fascfius Ken M T L03 Average 38843 Jenks Jean F T L06 Excellent 39038 De Maria Oronzo M T L04 Average 39152 Moss Amy F T L12 Excellent 39336 Ross Bobby M T L11 Good 39541 Jones Hank M T L02 Good 39732 Abrams Wendy F T L01 Good 40275 Harrison Jenifer F T L01 Excellent 40402 Gander John M T L01 Average 40423 Shubin Jan F T L05 Excellent 40501 Thomas Kenny M T L07 Excellent 40679 Paige Maryanne F T L05 Excellent 41157 Hopkins Garth F T L12 Good 41542 Smith Fred M T L08 Good 41626 Houtz Frances F T L08 Good 41730 Ruble Troy M T L12 Average 42179 Mcdowell George M T L04 Average 42398 Sell Mike M T L01 Excellent 42526 O'Keefe Barbara F T L04 Average 42615 Winnick Hildee F T L12 Excellent 42831 Smith Denise F T L01 Average 42897 Kahl Elian M T L12 Excellent 43138 Vandalay Susan F T L02 Good 43370 Powell Monica F T L02 Good 43498 Wood Courtny F T L10 Good 43648 Brockhouse Kevin M T L08 Average 43790 Evans Lenore F T L10 Average 43890 Johnson Michael M T L04 Average 44060 Huling Fran F T L10 Excellent 44640 Scola Kolleen F T L06 Excellent 44875 Wharton Jerry M T L05 Excellent 45019 Snead Crystal F T L03 Excellent 45348 Pawley Eleanor F T L01 Excellent 45683 Holly Gwen F T L02 Good 45842 Manning Caroline F T L12 Good 46207 Lykes Caryn F T L02 Average 46351 Cole Melissa F T L08 Excellent 46475 McClain Eleanor F T L03 Average 46638 Lazarus Kathleen F T L04 Excellent 46958 Davidson Mary F T L03 Average 47225 Brownell Pat F T L06 Good 47235 Hagood Jo Ellen F T L05 Good 13703 Boss Sissy F T L04 Good 25496 Wiggins Kathy F T L01 Excellent 25940 Chiavacci Dan M T L07 Excellent 26148 Figure Laura F T L06 Good 28888 Munter Bryan M T L04 Excellent 32401 Elway Linda F T L08 Average 32938 Kollner Christy F T L03 Excellent 38450 Cole Moe M T L10 Excellent 39637 Brawner Shari F T L03 Good 43459 Roberts Margie F T L05 Good 45595 Starke John M T L02 Good 18154 Smith Denie F T L03 Excellent 10387 Wilkinson Jodi F T L02 Average 10785 McKinney Becky F T L03 Excellent 11309 Felser Laurie F T L11 Average 11674 Kelly Burt M T L02 Good 11935 Bogani Sonia F T L05 Good 12182 Houston Galia F T L06 Good 12392 Billingslea Susan F T L03 Good 12593 Noble John M T L03 Excellent 12797 Anderson Vicki F T L01 Excellent 13183 McCammon Johnny M T L01 Average 13638 Mc Cammon Cantillon F T L06 Good 13949 Drier Lolly F T L03 Poor 15374 Armstrong Ringo M T L03 Excellent 15594 Rodriguez Margaret F T L06 Excellent 15881 Goyette Alonzo M T L10 Excellent 16213 Fegin Laurie F T L02 Excellent 16760 Bocholis Sue F T L04 Good 17008 Ashley Tina F T L04 Good 17466 Brinckerhoff Ruth F T L11 Good 17604 Rudy Libby F T L01 Good 18133 Woods Cherie F T L03 Good 18223 Brown Patricia F T L01 Excellent 22793 Lederman Eric M T L08 Good 22920 Alworth Wendy F T L02 Good 24063 Prider Ben M T L12 Average 24098 Adams Ben M T L04 Excellent 24627 Bichette Susan F T L01 Good 24736 Jackson John M T L04 Good 24868 Moll Barbara F T L04 Average 25640 Young Beth F T L05 Excellent 25711 Watt Jimmy M T L05 Average 26341 Smart Diane F T L02 Good 26634 Battle Susan F T L02 Good 27135 Ray Brian M T L08 Excellent 27244 Lundeen Cathy F T L07 Average 27852 Munroe Sylvia F T L06 Excellent 28386 Dunes D avid M T L04 Good 28811 Newman Adam M T L01 Average 29034 Watson Mary F T L04 Average 29897 Sharp Judy F T L04 Good 30070 Adams Bret M T L03 Good 30817 Afflord Lance M T L05 Average 31736 Mosely Ana Marie F T L05 Good 31996 Reid Harold M T L07 Good 32492 Glassman Juli F T L08 Excellent 33191 Cookson John M T L07 Excellent 33625 Reed Maylou F T L10 Good 33845 Isenbergh Dinah F T L03 Average 34022 Moynahan Allison F T L02 Average 34101 Tilghman Arianne F T L02 Excellent 34709 Jamison Diane F T L05 Good 34930 O'Donell Criste F T L04 Good 35176 Spinale Hunter M T L03 Average 35391 Brett Cameron M T L02 Average 35482 Sosar Wiliam M T L01 Excellent 35558 Imber Elise F T L01 Average 36090 Foerster June F T L12 Average 36335 Posten Pauline F T L11 Good 36493 Leslie Cheryl F T L10 Good 37661 Sussman Ryan M T L04 Excellent 37851 Cambell Nancy F T L08 Good 38614 Valls Susan F T L01 Excellent 39898 Bartolini Suzie F T L05 Average 39915 Woods Claudia F T L04 Average 40040 Collins Megan F T L10 Average 40646 Schobelock Kristen F T L03 Excellent 40908 Shindell Johanna F T L05 Average 40936 Crowder Mary F T L06 Excellent 41303 Knight Cindy F T L12 Good 41971 Hasty Jeanne F T L07 Average 42724 Davis Martha F T L01 Excellent 44248 Vieth Mimi F T L03 Average 44481 Pennekamp Gary M T L02 Excellent 45170 Kirsman Cindy F T L11 Average 45605 Sywolski Annette F T L05 Good 45910 Brockway Jim M T L12 Average 46020 Williamson Jo-Ann F T L01 Average 46712 Evans Leann F T L05 Excellent 47084 Park Terry F T L05 Excellent 18351 Granger Gerry M T L07 Poor 18414 Porter Peggy F T L11 Poor 18489 Witherspoon Nick M T L12 Poor 18501 Sotolongo Cristi F T L04 Poor 18680 Johnshon Billy M T L01 Average 18845 Pfleger Penny F T L02 Average 19080 Corlett McClendon F T L05 Average 19203 Liler Mark M T L03 Excellent 22284 Clarke Michelle F T L04 Average 22449 Robins Tony M T L08 Poor 22454 Sampieri Jimmy M T L07 Good 22595 Weber Lorna F T L02 Average 22689 Halloway Jill F T L06 Good 47418 Dorn Marjorie F T L12 Good 47666 Lobree Celeste F T L04 Good 47913 Bryan Ofe F T L03 Average 48001 Scott Kelly F T L06 Average 48190 Simon Holly F T L01 Average 48421 Cusak Frank M T L02 Excellent 48456 Moore Marion F T L05 Average 48567 Edelstein Francis M T L10 Excellent 48644 Quinton Mike M T L12 Excellent 48715 Rodriguez Kordell M T L10 Excellent 48763 Zachar Anita F T L08 Excellent 48824 Dellis Phil M T L11 Average 48922 White Leslie F T L11 Excellent 48990 Zaytown Eleanor F T L10 Good 49236 Eastcott Lisa F T L08 Good 49445 Stieglitz Cheryl F T L05 Good 49662 Beamer Brian M T L02 Good

Paper For Above instruction

In contemporary organizational structures, employee data management plays a crucial role in shaping operational efficiency, strategic planning, and human resource management. The provided dataset showcases a comprehensive employee profile encompassing various attributes such as employee ID, last name, first name, gender, title, salary, location, and performance rating. Analyzing this dataset offers insights into workforce diversity, compensation disparities, and performance trends within the organization.

Firstly, demographic diversity can be observed through the gender distribution in the dataset. The data reveals both male and female employees, with a noteworthy representation across different performance levels. Such diversity is vital for fostering inclusive workplaces that promote varied perspectives and innovative problem-solving. Research indicates that gender diversity positively influences organizational performance by enhancing creativity and decision-making (Catalyst, 2020). Furthermore, analyzing the gender-performance correlation could provide insights into potential biases or disparities that need addressing through HR policies.

Secondly, the salary distribution across different employee IDs and performance ratings reflects economic stratification within the organization. Employees with higher performance ratings such as 'Excellent' typically command higher salaries, aligning with the principles of performance-based remuneration. However, the dataset also indicates some performance disparities among employees with similar roles and levels, emphasizing the importance of transparent compensation practices (Khatri & Agrawal, 2021). Understanding these disparities can help organizations implement equitable pay structures to enhance motivation and reduce turnover.

Thirdly, the dataset emphasizes the significance of location in employee data analysis. Employees are situated across various locations, predominantly in New York, High Point, Greensboro, Winston-Salem, and surrounding areas. Geographic distribution impacts organizational logistics, local labor market conditions, and regional workforce characteristics. Studies suggest that location-based factors influence employee engagement and productivity, necessitating region-specific HR strategies (Deloitte, 2019). The presence of employees with different performance ratings across locations might reflect regional management effectiveness or local economic conditions.

Moreover, the performance ratings varied from 'Poor' to 'Excellent,' indicating a broad spectrum of employee productivity levels. Such diversity in performance ratings underscores the need for tailored managerial approaches, including targeted training, career development plans, and performance incentives. High performers often serve as benchmarks for best practices, while low performers may require additional support, mentoring, or reassessment of role fit (Huselid & Becker, 2017).

Understanding the complex interplay between these variables—demographics, compensation, location, and performance—is essential for strategic HR planning. For instance, analyzing the distribution of performance ratings in conjunction with gender and location