[df_adh_heading title_prefix=”Column Chart” _builder_version=”4.25.1″ _module_preset=”default” title_font=”|700|||||||” title_text_align=”center” title_font_size=”36px” min_height=”75px” custom_padding=”0px||0px|||” global_colors_info=”{}”][/df_adh_heading]
[difl_advanced_blurb title=”Clustered Column Chart” content_area_alignment=”left” wrapper_margin=”||||true|true” title_margin=”||15px||false|false” _builder_version=”4.25.1″ _module_preset=”default” background_color=”rgba(255,255,255,0.6)” width=”100%” custom_margin=”auto|auto|auto|auto|false|false” custom_padding=”30px|20px|20px|20px|false|false” border_radii=”on|10px|10px|10px|10px” box_shadow_style=”preset1″ box_shadow_vertical=”10px” box_shadow_blur=”30px” box_shadow_color=”rgba(0,0,0,0.14)” global_colors_info=”{}”]

  • Uses sharp lines for connecting points
  • Highlights abrupt and clear data shifts
  • Accurately shows transitions between data values
  • Creates a clean, organized visual layout

[/difl_advanced_blurb]

[difl_advanced_blurb title=”Single Expected Column Chart” content_area_alignment=”left” wrapper_margin=”||||true|true” title_margin=”||15px||false|false” _builder_version=”4.25.1″ _module_preset=”default” background_color=”rgba(255,255,255,0.6)” width=”100%” custom_margin=”auto|auto|auto|auto|false|false” custom_padding=”30px|20px|20px|20px|false|false” custom_padding_tablet=”30px|20px|20px|20px|false|false” custom_padding_phone=”30px||||false|false” custom_padding_last_edited=”on|phone” border_radii=”on|10px|10px|10px|10px” box_shadow_style=”preset1″ box_shadow_vertical=”10px” box_shadow_blur=”30px” box_shadow_color=”rgba(0,0,0,0.14)” global_colors_info=”{}”]

  • Uses sharp lines for connecting points
  • Highlights abrupt and clear data shifts
  • Accurately shows transitions between data values
  • Creates a clean, organized visual layout

[/difl_advanced_blurb]

[df_adh_heading title_prefix=”100% Stacked Column Chart” _builder_version=”4.25.1″ _module_preset=”default” title_font=”|700|||||||” title_text_align=”center” min_height=”28.3px” custom_margin=”||18px|||” global_colors_info=”{}”][/df_adh_heading]
  • Connects data with horizontal and vertical lines
  • Emphasizes abrupt shifts between data points
  • Ideal for visualizing stepwise data changes
  • Highlights distinct, non-continuous data transitions
[difl_advanced_blurb title=”Negative Values Column Chart” content_area_alignment=”left” wrapper_margin=”||||true|true” title_margin=”||15px||false|false” _builder_version=”4.25.1″ _module_preset=”default” background_color=”rgba(255,255,255,0)” width=”100%” custom_margin=”auto|auto|auto|auto|false|false” custom_padding=”30px|20px|20px|20px|false|false” border_radii=”on|10px|10px|10px|10px” global_colors_info=”{}”]

  • Compares two datasets side by side
  • Highlights multiple categories simultaneously
  • Sidebars provide clear, organized data separation
  • Facilitates in-depth comparison of related data

[/difl_advanced_blurb]

[difl_advanced_blurb title=”Single Expected Column Chart” content_area_alignment=”left” wrapper_margin=”||||true|true” title_margin=”||15px||false|false” _builder_version=”4.25.1″ _module_preset=”default” background_color=”rgba(255,255,255,0.6)” width=”100%” custom_margin=”auto|auto|auto|auto|false|false” custom_padding=”30px|20px|20px|20px|false|false” border_radii=”on|10px|10px|10px|10px” box_shadow_style=”preset1″ box_shadow_vertical=”10px” box_shadow_blur=”30px” box_shadow_color=”rgba(0,0,0,0.14)” global_colors_info=”{}”]

  • Uses sharp lines for connecting points
  • Highlights abrupt and clear data shifts
  • Accurately shows transitions between data values
  • Creates a clean, organized visual layout

[/difl_advanced_blurb]