{"id":3069,"date":"2022-07-29T10:59:12","date_gmt":"2022-07-29T09:59:12","guid":{"rendered":"https:\/\/process-chemistry-analytics.com\/?page_id=3069"},"modified":"2022-07-29T10:59:14","modified_gmt":"2022-07-29T09:59:14","slug":"industry-updates","status":"publish","type":"page","link":"https:\/\/process-chemistry-analytics.com\/index.php\/industry-updates\/","title":{"rendered":"Industry Updates"},"content":{"rendered":"

[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.16″ global_colors_info=”{}”][et_pb_fullwidth_image src=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/07\/risk-24.jpg” _builder_version=”4.16″ animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”2%” global_colors_info=”{}”][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Blog” _builder_version=”4.17.6″ background_image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/07\/risk-33.jpg” background_size=”initial” width=”100%” max_width=”100%” custom_margin=”||||false|false” custom_padding=”|100px||100px|false|false” global_module=”621″ saved_tabs=”all” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text module_id=”trustpca” _builder_version=”4.17.6″ text_font=”||||||||” header_font=”||||||||” header_2_font=”Mukta|300|||||||” header_2_font_size=”54px” header_2_line_height=”1.3em” text_orientation=”center” custom_margin=”||10px” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”5%” header_2_font_size_tablet=”36px” header_2_font_size_phone=”24px” header_2_font_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}”]<\/p>\n

Occasional Updates<\/h2>\n

[\/et_pb_text][et_pb_divider color=”#2a2a2a” divider_weight=”3px” _builder_version=”4.17.6″ _module_preset=”default” max_width=”50px” module_alignment=”center” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”20%” global_colors_info=”{}”][\/et_pb_divider][et_pb_blog fullwidth=”off” posts_number=”6″ include_categories=”all” show_more=”on” show_author=”off” show_date=”off” show_categories=”off” _builder_version=”4.16″ header_font=”Mukta|500|||||||” header_font_size=”16px” header_line_height=”1.6em” body_line_height=”2em” meta_font=”Mukta||||||||” meta_text_color=”#afafaf” meta_font_size=”12px” meta_line_height=”1.8em” border_radii=”on|10px|10px|10px|10px” border_width_all=”0px” box_shadow_style=”preset3″ box_shadow_vertical=”30px” box_shadow_blur=”120px” box_shadow_spread=”-20px” box_shadow_color=”rgba(0,0,0,0.15)” global_colors_info=”{}”][\/et_pb_blog][et_pb_button button_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wb3N0Iiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjI3MDcifX0=@” url_new_window=”on” button_text=”Read More” button_alignment=”center” _builder_version=”4.16″ _dynamic_attributes=”button_url” custom_button=”on” button_text_size=”18px” button_text_color=”#ffffff” button_bg_color=”#004ddd” button_border_width=”0px” button_border_color=”rgba(0,0,0,0)” button_letter_spacing=”0px” button_font=”Mukta|600|||||||” button_icon=”$||divi||400″ custom_margin=”3vw||” custom_padding=”15px|40px|15px|40px|true|true” animation_style=”slide” animation_direction=”right” animation_intensity_slide=”5%” locked=”off” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Industry examples and statistics” _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”1″ padding_left_right_link_2=”false” _builder_version=”4.16″ width=”100%” max_width=”100%” use_custom_width=”on” width_unit=”off” custom_width_percent=”100%” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/07\/risk-25.png” align=”right” _builder_version=”4.16″ background_image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/07\/investing-12.jpg” parallax=”on” always_center_on_mobile=”off” global_colors_info=”{}” show_bottom_space__hover=”on” show_bottom_space__hover_enabled=”on”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”6vw|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_slider show_arrows=”off” _builder_version=”4.16″ header_font=”||||||||” header_text_color=”#000000″ header_line_height=”1.7em” body_font=”||||||||” body_text_color=”rgba(0,0,0,0.43)” background_color=”rgba(255,255,255,0)” use_background_color_gradient=”on” background_color_gradient_direction=”90deg” background_color_gradient_stops=”rgba(245,249,255,0) 0%|#f5f9ff 20%” background_color_gradient_start=”rgba(245,249,255,0)” background_color_gradient_end=”#f5f9ff” background_color_gradient_end_position=”20%” text_orientation=”left” width=”100%” max_width=”100%” custom_padding=”8vw||8vw||true|false” auto=”on” header_text_shadow_style=”preset3″ header_text_shadow_color=”rgba(0,0,0,0)” body_text_shadow_style=”preset3″ body_text_shadow_color=”rgba(0,0,0,0)” border_radii_image=”on|20px|20px|20px|20px” locked=”off” global_colors_info=”{}”][et_pb_slide image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/08\/logo2c.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”][\/et_pb_slide][et_pb_slide heading=”Scatterplot comparing Spearman and Pearson correlation 1″ image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Spearman_fig1-300×284.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Skbkekas [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Mining at the Tarkwa Gold Mine in Ghana” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Tarkwa_mining_4_big-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Iamgold [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Scatterplot comparing Pearson and Spearman correlation 2″ image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Spearman_fig2-300×284.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Skbkekas [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Nippon Paper Industries, Akita Mill” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Nippon_Paper_Industries_Akita_Mill2-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: \u63ac\u8336 [CC BY-SA 4.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Tarkwa Processing Plant, Ghana” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Tarkwa_processing_5_big-300×201.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Iamgold [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Python Code for Scatterplot comparing Pearson and Spearman correlation 2″ image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Spearman_fig2-python-code-300×264.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Skbkekas [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/08\/logo2c.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”][\/et_pb_slide][et_pb_slide heading=”Scatterplot comparing Spearman and Pearson correlation 3″ image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Spearman_fig3-300×284.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Skbkekas [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”The Standard Normal Probability Distribution with shaded regions” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Standard_Normal_Distribution-300×185.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: D Wells [CC BY-SA 4.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”The Grampian Prepared Foods Factory, Industrial Estate Road, UK” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/The_Grampian_Prepared_Foods_Factory_Industrial_Estate_Road_-_geograph.org_.uk_-_420342-1-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Eric Jones\u00a0\/\u00a0The Grampian Prepared Foods Factory, Industrial Estate Road<\/i>, via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Visualisation of how standard deviation (\u03c3) is calculated” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Visualization_of_standard_deviation-300×234.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Thebiologyprimer [CC BY-SA 4.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Processing facilities at the Essakane Mine in Burkina Faso” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Essakane_Mill_in_Burkina_Faso-300×200.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Iamgold [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=” Excess Kurtosis Beta Distribution with mean for full range and variance from 0.05 to 0.25″ image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Excess_Kurtosis_Beta_Distribution_with_mean_for_full_range_and_variance_from_0.05_to_0.25_-_J._Rodal-300×224.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution:\u00a0Dr. J. Rodal [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Mill in Hearst, Ontario, Canada” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Hearst_Ontario_2-1-300×192.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: P199 [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/08\/logo2c.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”][\/et_pb_slide][et_pb_slide heading=”Nyrstar zinc factory near Budel-Dorplein (NL)” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Zinkfabriek_Budel-300×182.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution:\u00a0Apdency [CC0], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Graph of bias in estimated standard deviation vs. alpha (significance level) and N (sample size)” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Biascurves01-1-300×300.jpeg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Rb88guy [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”3D representation of a hierarchical tree defining a classification (cluster) performed after a factorial analysis of the multiple correspondences on the %22tea%22 dataset available under R with FactoMineR” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/CAH_tea_after_ACM02-300×300.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution:\u00a0Jackverr [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”This is based on a print of the \u201cSingle Malt Whisky Flavor Map\u201d which was designed by the \u201cFriends of the Classic Malts\u201d, Glasgow, and published in free copies 2007″ image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Malt_Whisky_Flavor_Map-300×242.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Dave Broom was named as the Editor. Diageo funded the project.<\/p>\n

Attribution: Tasma3197 [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Cameronbridge Distillery, Scotland. This Diageo distillery is the birthplace of Cameronbridge pure grain whisky, and it is also where Gordons Gin, Smirnoff Vodka and other ‘exotic’ spirits are distilled” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Cameron_Bridge_Distillery_-_geograph.org_.uk_-_96523-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: James Allan\u00a0\/\u00a0Cameronbridge Distillery<\/i>, via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Norbord Factory, Scotland. Manufacturers of engineered wood based panel products” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Norbord_Factory_-_geograph.org_.uk_-_53228-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Ivor MacKenzie\u00a0\/\u00a0Norbord Factory<\/i>, via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=” Visit of an EITI commission 2008 in Ghana: In the caldera of the Ahafo mine, an open-pit mine of the Newmont Ghana Gold Limited” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/EITI_Newmont_Mine_Ghana_001_B003-2-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution:\u00a0The EITI [CC BY-SA 2.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Box plot description” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Box_plot_description-287×300.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Dcbmariano [CC BY-SA 4.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Processing scheme for the Rosebel Gold Mine in Suriname” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Rosebel_processing_6_big-300×186.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Iamgold [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”VisIt’s Scatter plot allows for the visualisation of multivariate data of up to four dimensions” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Scatter_plot-300×300.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

The Scatter plot takes multiple scalar variables and uses them for different axes in phase space. The different variables are combined to form coordinates in the phase space and they are displayed using glyphs and coloured using another scalar variable.<\/p>\n

Attribution: UCRL [Public domain], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Kemsley Paper Mill, UK” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Kemsley_Paper_Mill_-_geograph.org_.uk_-_881271-300×238.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Joe White\u00a0\/\u00a0Kemsley Paper Mill<\/i>, via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Box-plot of normal and non normal distribution. Created with R” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Normality_box-plot-264×300.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Gbdivers [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”The Ravensthorpe Nickel Mine, Western Australia” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/1024px-Ravensthorpe_Nickel_Mine_III-300×169.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Calistemon [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”An example of the bivariate Gaussian (normal), Student-t, Gumbel, and Clayton copul\u00e6” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Corr-example-300×300.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Avraham [CC BY 4.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”This is number 5 Blast Furnace located at the Port Talbot Corus (now Tata) Steel Plant, UK” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/1024px-Port_talbot_large-300×200.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Grubb at English Wikipedia [Public domain], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Data fusion involves techniques that combine data from multiple sources (dimension #1 & #2) and gather that information in order to achieve inferences (see scatter plot)” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Data_Fusion_-_Scatter_plot-300×272.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

More effective and potentially more accurate than using a single source of data (one or the other histogram).<\/p>\n

Attribution: Jarekt [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Aluminium smelter of TRIMET Aluminium, Essen, Germany” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Alu_H\u00fctte_Essen_Trimet_Luftaufnahme_2014-300×151.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Tuxyso \/ Wikimedia Commons<\/a> \/ CC BY-SA 3.0<\/a>, via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”International Paper Company, Georgetown, USA” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/InternationalPaper6413-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Pollinator<\/a> [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Image of random data plus trend, with best-fit line and smoothing curves” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Random-data-plus-trend-r2-1-300×223.png” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

The data is 1000 points, with a trend of 1-in-100, with random normal noise of SD 10 superimposed.\u00a0The r2<\/sup>\u00a0fit of the raw data is 0.08; of the 10-pt-smoothed, 0.57; of 100-pt-smoothed, 0.97. F<\/span>or the raw data, the simple trend line explains almost none of the variance of the time series (only 8%). For the 100-pt filtering, the trend line explains almost all of the data (97%). The trend lines are almost identical as are the confidence levels.\u00a0It\u00a0shows that a low r<\/span>2<\/sup>\u00a0value should\u00a0<\/span>not\u00a0be interpreted as evidence of lack of trend.<\/span><\/p>\n

Attribution: Maksim [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Twin Creeks gold mine, Nevada, USA; Carlin-style mineralisation in Mesozoic sedimentary rocks” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/09\/Twincreeksblast-300×225.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Geomartin [CC BY-SA 3.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

[\/et_pb_slide][et_pb_slide heading=”Terra Mineralia. Minerals Exhibition TU Bergakademie Freiberg (Gypsum with Calcite in foreground)” image=”https:\/\/process-chemistry-analytics.com\/wp2\/wp-content\/uploads\/2019\/01\/2H1A7265\u041e\u0412-2048px-300×200.jpg” _builder_version=”4.16″ locked=”off” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n

Attribution: Kora27 [CC BY-SA 4.0<\/a>], via Wikimedia Commons<\/a><\/p>\n

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