Lecture Business research methods (12e) Chapter 16: Exploring, displaying, and examining data

Lecture Business research methods (12e) Chapter 16: Exploring, displaying, and examining data. After studying this chapter you will be able to understand: That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data; how crosstabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an... Đề tài Hoàn thiện công tác quản trị nhân sự tại Công ty TNHH Mộc Khải Tuyên được nghiên cứu nhằm giúp công ty TNHH Mộc Khải Tuyên làm rõ được thực trạng công tác quản trị nhân sự trong công ty như thế nào từ đó đề ra các giải pháp giúp công ty hoàn thiện công tác quản trị nhân sự tốt hơn trong thời gian tới.

Chapter 16 EXPLORING, DISPLAYING, AND EXAMINING DATA 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 McGraw-Hill/Irwin Copyright © 2014 by The McGraw-Hill Companies, Inc All rights reserved c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 Learning Objectives Understand  That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data  How cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-2 Pull Quote “On a day-to-day basis, look for inspiration and ideas outside the research industry to influence your thinking For example, data visualization could be inspired by an infographic you see in a favorite magazine, or even a piece of art you see in a museum.” 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 Amanda Durkee, partner Zanthus 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-3 Researcher Skill Improves Data Discovery DDW is a global player in research services As this ad proclaims, you can “push data into a template and get the job done,” but you are unlikely to make discoveries using a template process 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-4 Exploratory Data Analysis Exploratory Confirmatory 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-5 Data Exploration, Examination , and Analysis in the Research Process 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-6 Research Values the Unexpected “It is precisely because the unexpected jolts us out of our preconceived notions, our assumptions, our certainties, that it is such a fertile source of innovation.” 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 Peter Drucker, author Innovation and Entrepreneurship bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-7 Frequency: Appropriate Social Networking Age 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-8 Bar Chart 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-9 Pie Chart 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-10 Snapshot: Novation No No standarded standarded vocabulary vocabulary across across companies companies Serve Serve variety variety of of users users 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 Ad Ad hoc hoc analysis analysis with with sophisticated sophisticated visualizations visualizations 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 Big Big data data with with sophisticated sophisticated analytical analytical tool tool 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-27 Snapshot: Digital Natives vs Digital Immigrants 30 30 subjects subjects == 15 15 natives, natives, 15 15 immigrants immigrants Monitored Monitored media media behaviors behaviors 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 300 300 hours hours of of real-time real-time data data bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 Biometric Biometric Monitoring: Monitoring: emotional emotional engagement engagement 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-28 Snapshot: Empowering Excel 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-29 Snapshot: Internet-age Researchers “The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades ” 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-30 Research Thought Leader “As data availability continues to increase, the importance of identifying/filtering and analyzing relevant data can be a powerful way to gain an information advantage over our competition.” 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 Tom H.C Anderson founder & managing partner Anderson Analytics, LLC bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-31 PulsePoint: Research Revelation 65 The percent boost in company revenue created by best practices in data quality 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-32 Geograph: Digital Camera Ownership 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-33 CloseUp: Working with Data Tables 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-34 CloseUp: Original Data Table 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-35 CloseUp: Arranged by Spending Most to Least 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-36 CloseUp: Arranged by Average Annual Purchases, Most to Least 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-37 CloseUp: Arranged by Average Transaction, Most to Least 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-38 CloseUp: Arranged by Estimated Average Transaction, Least to Most 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-39 Chapter 16 EXPLORING, DISPLAYING, AND EXAMINING DATA 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 McGraw-Hill/Irwin Copyright © 2014 by The McGraw-Hill Companies, Inc All rights reserved c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 Photo Attributions Slide Source Courtesy of Radius Global Market Research 18 Courtesy of RealtyTrac 21 Vstock/Alamy 24 Courtesy of Booth Research Services 27 Courtesy of Novation 28 Realistic Reflections 29 Courtesy of DecisionPro; Digital Vision/Getty Images 6b4090 276 f85e 7e79a2 7b4 f9d31306 2ff9828 5326 33d3 1409 b83a2 1eabae5 c78 69b235 50a5 c3c862be85 c992 c8a9 d31 cc7 8eb5 4cfda56e 5e9a28 26f8fcf74 565 4bb45 0f2 178 f0e02 f11 f3 f858 dd7 e448a6 231fe65db2a88 2044 c48 1c3 5a24df6 30 Vstock LLC/Getty Images bc9 b0bcf6 4689 7071a2 696e7 f15 1a28a c446 11fbd8 db86 80ef6b9 8cc9b6 74dc1 df3a6 b9d39e60 7c3 09863 4a0f18e f8e90e f5 f54e 4fe0e e17fc36 91491 3481e 6e 688f0 1fc5a0 f29fe 01a1 f12bc58 e905 f3 c73b1d0e 18686 7c9 5c8 533 ccdd31 d8d 5ac1c03e9 7c0 9d11a 1e51fcb6a1e21 f59a 46c9796 d3ad0 16f5a324 85d6 6092 0b 85cbfd0 b14 f24 f71ee 04fbcfdd5 ed71 5fb4642 584d703 b0754 31c9d59 8785 e42 05bb4 6d10 f6a1 0a49fc87 4f4 ef7ff3 9e845fb 99d8 98157 b65 4c10 7b6 6e5e0 857 203076 c61 1f4 9f0 bca c3e09 e51 c452fb8 e3c6 26d5db4b01 0a9c3f7 752e7 b46e d9d2e cb4 2640a 78d3 1c7 88be 3195e d06 f227a 0a55e6 3c9 5c6 e5bdc8 493b45233 6241c8cf19 f4fe 18aca c143 58ed f87 5118 5b19 39fdd99 4c7 e0b6 5e9fca936 474 d600 f8f5a5205 f30 0647 0eaa75fb c03a6 cd1 296a7 baff2fde4fc88 c5d8 0e7e8 05c20 445 f057 6fba59ac8c4e 9bdf4e 2d37a 6e52e 4d1 fc0 d97e 52033 2486 b108 b 6ac85e 6b36 36b4 1df49 c267 c062 235bd48 0e9ed f9 dbd175b8eb7a 87444 0fa0 1dfe7 d7f7cf90a6 f92 74c81be 6be3 cbf7ee2 0416 0b53 5f5 7d8 c76 f1e6e 17e9 fe f3a8e f7a276 b2a0 4f9 2b17a 67137 b8a2 b5c136efb1e 7eaf7 81d1f4 316c593 d2c 0a2f44 210d1bfbcc3a7 35d5 1d13 f37 7b1 72d0 079b6dc0dfc35 e5ac1d8a5 f07 b5 ab5a5c1d67 622e0 44fd9c038a98 b3 f82 f5a071 7f5 9adefb04 4eeafe be3 c4c40e 54813e1 1a2e6a 6638e 29b2 0b7 c7e8a 1f7 92736 b1e8 c7ee ba292 7f7 2950 b4a90 b 87d180a 6f6 794a2 2d3 bb70a 4e2d2289aa8 df113fa 96d4 dd6 0d1 555e5 50f50086 24f6fb cc2 c3e2 d82a 7f4 2dc11d3 f7a8 4c9 d529 044 b7cfa91b4143 0b68 8aca f29 c5eac84c3f6 c86 c63 6c6 9f5ae 9f2 1f1 94c4b94 d1 c92e f3b8 8c4 e9b9a 3b5 cb2 8e b4a4b4 8b05 3489 bfa88 9d0 2057a9 3d2fb dd52 510 c0571 74e5 b5d0 9708 eb22 f03 16-41