history of data analytics pdf

endobj endobj <><>458 0 R]/P 216 0 R/Pg 762 0 R/S/Link>> <>455 0 R]/P 214 0 R/Pg 762 0 R/S/Link>> 0000074571 00000 n 0000010166 00000 n 811 0 obj 5 0 obj 0000074287 00000 n 752 0 obj <>506 0 R]/P 236 0 R/Pg 778 0 R/S/Link>> 284 0 obj 742 0 obj 0000005235 00000 n �? 0000013414 00000 n 0000003584 00000 n uuid:ffb71d3a-a9ce-11b2-0a00-782dad000000 0000043477 00000 n 718 0 obj 0000028695 00000 n 0000029648 00000 n terminology of data analysis, and be prepared to learn about using JMP for data analysis. endobj <>443 0 R]/P 203 0 R/Pg 762 0 R/S/Link>> <><>521 0 R]/P 241 0 R/Pg 778 0 R/S/Link>> 0000029723 00000 n 0000005313 00000 n 731 0 obj endobj endobj endobj <> 15 0 obj Program staff are urged to view this Handbook as a beginning resource, and to supplement their knowledge of data analysis procedures and methods over … .Xjh��fl��"� Xm�MTZ��آȔ5-~k�v��H��T��vwvv��K^��޽��s?��9��L 737 0 obj xref 748 0 obj <>479 0 R]/P 224 0 R/Pg 778 0 R/S/Link>> endobj 724 0 obj 443 30 0000028845 00000 n endobj 726 0 obj endobj 0000000896 00000 n HISTORY OF DATA VISUALIZATION To understand current and future trends in the field of data visualization, it helps to begin with some historical context. endobj endobj 0000007927 00000 n endobj 0000030414 00000 n endobj Appligent AppendPDF Pro 5.5 endobj %%EOF <>476 0 R]/P 223 0 R/Pg 762 0 R/S/Link>> As new ways to know the world are ... Data analytics is an emerging form of knowledge production that provides the ability to cheaply and easily connect and analyze datasets, often endobj 0000004914 00000 n 0000005933 00000 n <<5489E373309A8F48A760A19034B56E27>]>> 1 0 obj endobj 0000003464 00000 n %PDF-1.7 %�� <>494 0 R]/P 231 0 R/Pg 778 0 R/S/Link>> endobj 733 0 obj endobj 0000008833 00000 n <> 0000015824 00000 n 722 0 obj endobj <>467 0 R]/P 220 0 R/Pg 762 0 R/S/Link>> 0000011975 00000 n 0000013834 00000 n <>/MediaBox[0 0 612 792]/Parent 12 0 R/Resources<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]/XObject<>>>/StructParents 21/Tabs/S/Type/Page>> <> methods of data analysis or imply that “data analysis” is limited to the contents of this Handbook. 0000000016 00000 n endobj data analytics are used to examine these large amounts of data and identifies the hidden patterns and unknown correlation. � endstream endobj 119 0 obj <>>>/Metadata 116 0 R/Outlines 100 0 R/PageLayout/SinglePage/PageMode/FullScreen/Pages 113 0 R/Type/Catalog/ViewerPreferences<>>> endobj 120 0 obj <>/ExtGState<>/Font<>/ProcSet[/PDF/Text/ImageC]/XObject<>>>/Rotate 0/Tabs/W/Thumb 101 0 R/TrimBox[0.0 0.0 612.0 792.0]/Type/Page>> endobj 121 0 obj [/ICCBased 139 0 R] endobj 122 0 obj <> endobj 123 0 obj <>stream 736 0 obj From a data analysis, data analytics, and Big Data point of view, HTTP-based web traffic introduced a massive increase in semi-structured and unstructured data. endobj %PDF-1.7 %�� <>542 0 R]/P 264 0 R/Pg 811 0 R/S/Link>> In part, this is because the social sciences represent a wide variety of disciplines, including (but … endobj 738 0 obj <>449 0 R]/P 206 0 R/Pg 762 0 R/S/Link>> <><>524 0 R]/P 242 0 R/Pg 778 0 R/S/Link>> <>497 0 R]/P 232 0 R/Pg 778 0 R/S/Link>> The history of science and engineering ethics suggests that ethical regimes often track new ways of knowing. 0000004006 00000 n Besides the standard structured data types, organizations now needed to find new approaches and storage solutions to deal with these new data types in order to analyze them effectively. 0000082247 00000 n �y"�[#�CF!wѩ�kC��|9tJb��P�`�*I�Q��N@��2rlf�I��u^G��t4000gt �((�� 3��u��2�*�-::��b��":� endobj endobj uuid:ffb749a1-a9ce-11b2-0a00-903c5caefd7f 751 0 obj 0000006576 00000 n Current research is documenting the benefits of big data and 2018-10-10T08:08:29-07:00 �)�ʌ/��3��6Pk��_��-��yD\�l$9�Z6��\��v�R�B�O�2�c�I-Ug��\��9�]z��ۮ��_^:fr�a��Y,�n�v��}��\��Y�2��ǘY,��{i. 0000080467 00000 n endobj <><>437 0 R]/P 201 0 R/Pg 757 0 R/S/Link>> 2018-10-10T08:08:29-07:00 0000007233 00000 n 745 0 obj <><>491 0 R]/P 229 0 R/Pg 778 0 R/S/Link>> HISTORY OF DATA VISUALIZATION To understand current and future trends in the field of data visualization, it helps to begin with some historical context. 0000008927 00000 n A brief history of data visualization Michael Friendly∗ March 21, 2006 Abstract It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. 734 0 obj <> 0000005679 00000 n 2018-10-10T08:08:29-07:00 <>410 0 R]/P 150 0 R/Pg 755 0 R/S/Link>> 727 0 obj 0000007085 00000 n endobj Next, we look at the history of analytics, the various kinds of analytics, and how they are used with big data. 0000001690 00000 n AppendPDF Pro 5.5 Linux Kernel 2.6 64bit Oct 2 2014 Library 10.1.0 endobj 0000014550 00000 n startxref endstream 0000006473 00000 n endobj <]>> 732 0 obj 14 0 obj 0000025009 00000 n <><>536 0 R]/P 252 0 R/Pg 805 0 R/S/Link>> <> 118 0 obj <> endobj xref 118 41 0000000016 00000 n 730 0 obj <> x��[Ys�H�~w�� B�f:+��;�ۇ噇�y�D�Զ�)��r�$D�Fl8,�@UeVfV�Y��x�ގ�7ߜ_�c{��V��v�?��"y��*��R�L%9��ɏ�_��G�D�$�w�_ �'�*��VY�\ì��a�/s�"� =��D-�{�2؊��:�eV��*�-%��)�O"rU�aS�&��JK�Q��&��x�q0H�Y^$RdMR �:��m��u ��^ G�D/�{Y�ܝ�N�>,D�>,�:}BA|Y�i�IK�S��l� e!�L �/)J�,� ��Z:��%rtLȘ�`�ę�#�кUz�X� �&�J�'�?F��, Tutorial: Big Data Analytics: Concepts, Technologies, and Applications. 740 0 obj H�tVˎ,5��W�:�a;k� �h��h ��8W�p�H�u��o��H!��oǯ��~�|�s <>482 0 R]/P 225 0 R/Pg 778 0 R/S/Link>> 0000007881 00000 n the data that is being processed: Edge analytics Data collected within device (i.e., gateway, sensor, on machi‐ nery, etc.) 735 0 obj 0000032760 00000 n 0000004039 00000 n endobj <>464 0 R]/P 219 0 R/Pg 762 0 R/S/Link>> <><>518 0 R]/P 240 0 R/Pg 778 0 R/S/Link>> 0000029477 00000 n 0000008473 00000 n 717 0 obj 3 0 obj 0000001713 00000 n <> <><>509 0 R]/P 237 0 R/Pg 778 0 R/S/Link>> 0000029017 00000 n 0000001987 00000 n endobj 0000051623 00000 n <>461 0 R]/P 217 0 R/Pg 762 0 R/S/Link>> 746 0 obj 741 0 obj 747 0 obj 723 0 obj 285 0 obj 0000029532 00000 n 749 0 obj 0000005205 00000 n <>512 0 R]/P 238 0 R/Pg 778 0 R/S/Link>> x��X�SSW�/yI_�� H�@�G��U ��B�u <>539 0 R]/P 261 0 R/Pg 811 0 R/S/Link>> 0000003020 00000 n In fact, the graphic representation of quantitative information has deep roots. 0000004959 00000 n 0000003932 00000 n <><>440 0 R]/P 202 0 R/Pg 757 0 R/S/Link>> Introduction: A Common Language for Researchers Research in the social sciences is a diverse topic. endobj 0000019853 00000 n ��Q�)̭5Kge��*I+t�-��4��ԐE+�^tj��n��.�.�P� <><>470 0 R]/P 221 0 R/Pg 762 0 R/S/Link>> 725 0 obj <> 0000030133 00000 n 0000029836 00000 n �"�� 5� P�. <><><>485 0 R]/P 226 0 R/Pg 778 0 R/S/Link>> Starbucks, Chevron, U.S. Xpress, and Target are used to illustrate various uses of big data analytics. 0000002546 00000 n 813 0 obj trailer <<34BCEB260C1E499BB26A1988EFD79803>]/Prev 205077>> startxref 0 %%EOF 158 0 obj <>stream 0 %PDF-1.4 %�� 0000017204 00000 n xref A brief history of data visualization Michael Friendly∗ March 21, 2006 Abstract It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. 0000028920 00000 n 743 0 obj 739 0 obj 0000008013 00000 n endobj endobj <>446 0 R]/P 205 0 R/Pg 762 0 R/S/Link>> 753 0 obj 0000005975 00000 n 2 0 obj 750 0 obj endobj 128 0 obj<>stream 0000002395 00000 n 126 0 obj <> endobj Two technologies are used in big data analytics are NoSQL and Hadoop. 0000004581 00000 n 0000011981 00000 n endobj endobj trailer application/pdf NoSQL is a non- relation or non SQL database solution, examples are HBase, Cassandra and mongoDB [2]. <> 0000001908 00000 n <><>515 0 R]/P 239 0 R/Pg 778 0 R/S/Link>> 0000130439 00000 n 13 0 obj <>452 0 R]/P 207 0 R/Pg 762 0 R/S/Link>> h�b```b``5c`c`��bd@ AV�(��c��}b�bآpt��K��$��~7|��n�v�� 0000003480 00000 n endobj <>stream b`��H�� U` ?ҜB��]a}��hưā��n�&�FS��;��a.°�]��+�j�r�zZs2"�w0p3�dm�s�L�`�`��'�v�\�x1�"")��: �M0�Ȁ�nf�`��4��skb'P0�� ^�K��d��] j <>527 0 R]/P 243 0 R/Pg 805 0 R/S/Link>> endobj %PDF-1.4 %�� 0000000816 00000 n 0000015815 00000 n 0000028571 00000 n 0000029166 00000 n endobj Prince 9.0 rev 5 (www.princexml.com) 0000004923 00000 n endobj endobj 728 0 obj 0000011014 00000 n PDF | The paper outlines an overview about contemporary state of art and trends in the field of data analysis. <>533 0 R]/P 245 0 R/Pg 805 0 R/S/Link>> endobj ��p�� 0000005831 00000 n 720 0 obj 6 0 obj startxref 472 0 obj<>stream 719 0 obj endobj 0000002563 00000 n 0000011185 00000 n 0000001116 00000 n 0000009028 00000 n endobj 0000082519 00000 n <>530 0 R]/P 244 0 R/Pg 805 0 R/S/Link>> trailer <> 721 0 obj 0000005864 00000 n 126 26 Tutorial: Big Data Analytics: Concepts, Technologies, and Applications ��A�~�`l`~fGT}��k��H�VG��G�v4�={|?��RГ2fi}"��9s��:I5 �J;��WdTS3E)�H��Q��>xE�7�5vV�4$o#��h(�.Gw�Z+�ꊱ��|q��B�s�fG� `��;dcF~6�g\�!4"x��Jޙj-�g��jC>�юld��$�ҘeP54��6��6sj��2 ��v��r��ó�ף��6��)�~s�U#��=�[�c.ٖ�y �iN�g�T��r��N�\�j��t��@9S� ��s5 J��t�@�t�ox��u��g0�-��q/�.,��ܖ. 0000005574 00000 n In this tutorial, we first consider the nature and sources of big data. endobj 744 0 obj endobj 0000055254 00000 n 729 0 obj <>503 0 R]/P 234 0 R/Pg 778 0 R/S/Link>> <><>473 0 R]/P 222 0 R/Pg 762 0 R/S/Link>> 0000001854 00000 n 0000006088 00000 n 0000009578 00000 n 0000059913 00000 n

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