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This document provides links to Excel templates for various management and financial reports for construction companies including monthly and weekly MIS reports, a job safety analysis checklist, and a profit and loss projection template. The templates aim to help construction businesses organize key data like safety requirements, expenses, and financial goals in one centralized spreadsheet.
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Geminate comes with a feature of grouping based on analytic accounts for balance sheet and profit & loss excel sheet reports in the backend (Admin Users). it will tabularize all financial data from different charts of accounts under each analytic account based on journal items. it will enable grouping only in case there is data available in that period/duration or year. it will print an excel sheet report by a group of analytic accounts.
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Figure 1.11
The document provides step-by-step instructions for creating a column chart in Excel by organizing data, selecting the "Insert" menu to choose a 2-D column graph, and adding titles and labels through the "Layout" menu to make the figure accessible. It demonstrates how to take organized data and turn it into a labeled column chart using Excel's graphing features.
Figure 1.8
The document provides step-by-step instructions for recreating a graphic using Excel by:
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Geminate comes with a feature of grouping based on analytic accounts for balance sheet and profit & loss excel sheet reports in the backend (Admin Users). it will tabularize all financial data from different charts of accounts under each analytic account based on journal items. it will enable grouping only in case there is data available in that period/duration or year. it will print an excel sheet report by a group of analytic accounts.
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Available Key Features
Enable grouping based on analytic accounts for balance sheet and profit & loss excel sheet reports in the backend (Admin Users).
Tabularize all financial data from different charts of accounts.
Perform grouping on data available within period/duration or year.
Easy to visualize the total amount utilized under the individual analytic account.
Print an excel sheet report by a group of analytic accounts.
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Figure 1.11
The document provides step-by-step instructions for creating a column chart in Excel by organizing data, selecting the "Insert" menu to choose a 2-D column graph, and adding titles and labels through the "Layout" menu to make the figure accessible. It demonstrates how to take organized data and turn it into a labeled column chart using Excel's graphing features.
Figure 1.8
The document provides step-by-step instructions for recreating a graphic using Excel by:
1) Copying tracker data from assessments into a new workbook and organizing it so that Excel can recognize the numbers and plot them on a graph.
2) Creating a scatter plot graph from the organized data and formatting it by deleting unnecessary numbers and making the data points larger.
3) Adding labels, titles and axis labels to make the graph accessible and clearly labeled.
Figure 1.2
The document provides step-by-step instructions for copying tracker data from a workbook into a scratch workbook, organizing it to create a column chart in Excel, and customizing the chart with a title, labeled axes, and data labels to visualize student data. It describes copying two columns of data side-by-side, sorting or organizing the data, highlighting the organized data to insert a 2-D column chart, and using Excel's layout menu to add a title above the chart, a rotated vertical axis label, and optional data labels noting "n=" values.
Figure 1.10
The document provides step-by-step instructions for recreating a column chart in Excel that shows student reading growth over time. It describes copying relevant data from a tracker workbook, organizing the data for the chart, selecting the column chart type from the Insert menu, and customizing the chart by adding a title, axis labels, and data labels to show growth amounts. The overall process involves transferring and formatting data, selecting the appropriate chart type, and fully labeling the chart for accessibility and interpretation.
Figure 1.5
The document provides step-by-step instructions for recreating a tracker graphic in Excel using assessment data. It describes copying assessment data from a tracker into a new workbook, sorting the data, organizing it into columns for different performance categories, highlighting the organized data, inserting a 2-D column chart using the Insert menu, and adding titles and labels to the chart layout to make it accessible. The overall purpose is to take raw assessment data and transform it visually into a graphical display using Excel.
Figure 1.12
The document provides instructions for creating a column graph in Excel. It explains that the user must first organize their data so that Excel can generate the desired figure. They then need to highlight the organized data and select "Insert" then "2-D Column" to generate the initial graph. Some additional formatting is then needed, including adding a title by going to "Layout" then "Chart Title", and labeling the vertical axis by going to "Layout" then "Axes Titles".
Figure 1.7
The document provides step-by-step instructions for creating a column graph in Excel to display student assessment data. It involves copying assessment data from individual student tabs into a scratch workbook, sorting the data, organizing it into columns for boys and girls, highlighting the data and selecting "Insert" then "2-D Column" to generate a column graph. Additional steps include deleting axis numbers, scaling the vertical axis to 1.0, labeling the values as percentages, and adding titles and labels to make the graph accessible.
Figure 1.3
The document provides instructions for copying student assessment data from a tracker into a new workbook, organizing it into columns by category and sorting by growth level, then using this organized data to generate a column chart in Excel. The steps include highlighting the organized data and selecting "Insert" then "2-D Column" to create an initial chart, making the chart wider to see all student initials, and then adding a title and axis labels through the "Layout" menu to make the figure accessible.
Figure 1.4
The document provides step-by-step instructions for creating a column chart from student data in Excel. It describes copying student performance data from a tracker into a new workbook, sorting the data from lowest to highest mastery, selecting the data and choosing "2-D Column" to generate the chart. It then advises adding labels like the title, axis titles and inserting lines to mark thresholds of 70% and 80% mastery. The overall purpose is to recreate a graphical display of student data in Excel.
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Figure 1.2
The document provides step-by-step instructions for copying tracker data from a workbook into a scratch workbook, organizing it to create a column chart in Excel, and customizing the chart with a title, labeled axes, and data labels to visualize student data. It describes copying two columns of data side-by-side, sorting or organizing the data, highlighting the organized data to insert a 2-D column chart, and using Excel's layout menu to add a title above the chart, a rotated vertical axis label, and optional data labels noting "n=" values.
Figure 1.10
The document provides step-by-step instructions for recreating a column chart in Excel that shows student reading growth over time. It describes copying relevant data from a tracker workbook, organizing the data for the chart, selecting the column chart type from the Insert menu, and customizing the chart by adding a title, axis labels, and data labels to show growth amounts. The overall process involves transferring and formatting data, selecting the appropriate chart type, and fully labeling the chart for accessibility and interpretation.
Figure 1.5
The document provides step-by-step instructions for recreating a tracker graphic in Excel using assessment data. It describes copying assessment data from a tracker into a new workbook, sorting the data, organizing it into columns for different performance categories, highlighting the organized data, inserting a 2-D column chart using the Insert menu, and adding titles and labels to the chart layout to make it accessible. The overall purpose is to take raw assessment data and transform it visually into a graphical display using Excel.
Figure 1.12
The document provides instructions for creating a column graph in Excel. It explains that the user must first organize their data so that Excel can generate the desired figure. They then need to highlight the organized data and select "Insert" then "2-D Column" to generate the initial graph. Some additional formatting is then needed, including adding a title by going to "Layout" then "Chart Title", and labeling the vertical axis by going to "Layout" then "Axes Titles".
Figure 1.7
The document provides step-by-step instructions for creating a column graph in Excel to display student assessment data. It involves copying assessment data from individual student tabs into a scratch workbook, sorting the data, organizing it into columns for boys and girls, highlighting the data and selecting "Insert" then "2-D Column" to generate a column graph. Additional steps include deleting axis numbers, scaling the vertical axis to 1.0, labeling the values as percentages, and adding titles and labels to make the graph accessible.
Figure 1.3
The document provides instructions for copying student assessment data from a tracker into a new workbook, organizing it into columns by category and sorting by growth level, then using this organized data to generate a column chart in Excel. The steps include highlighting the organized data and selecting "Insert" then "2-D Column" to create an initial chart, making the chart wider to see all student initials, and then adding a title and axis labels through the "Layout" menu to make the figure accessible.
Figure 1.4
The document provides step-by-step instructions for creating a column chart from student data in Excel. It describes copying student performance data from a tracker into a new workbook, sorting the data from lowest to highest mastery, selecting the data and choosing "2-D Column" to generate the chart. It then advises adding labels like the title, axis titles and inserting lines to mark thresholds of 70% and 80% mastery. The overall purpose is to recreate a graphical display of student data in Excel.
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Account sheet
- 1. https://accountingsheet.net/ MIS Report Format in Excel with Example Formats are offering all related MIS report data. These are particularly monthly, weekly reports for different construction companies. Job Safety Analysis Template Excel A necessary to maintain all checklist to remember all in one sheet in construction company, building material, electricity to fulfill all requirements.
- 2. https://accountingsheet.net/ Profit And Loss Projection for Business Plan Profit and loss projection in business isn’t required to make effective topic. With these templates, it presents your company and annual financial goals.