Click on Custom Indicators. Choose input indicators by clicking on the desired series in the panel and use the calculator functions to construct your custom indicator formula.For example, for a series that shows the percentage of female population, double-click on the series Population, Female. Then create a formula by clicking.100/ from the key pad.Then double click on the series Population, Total.After the formula is complete, you can verify its syntax by clicking the Validate button.Give a name to your custom indicator and click on Add.Similarly you can create custom indicators such as GDP per Capita as GDP/Population, and annual growth rates for population as AGR(Population, Total), etc.To have 'not available' values in the database treated as zero within your formula, use the NA function.
![](/uploads/1/2/6/7/126743267/406593021.jpg)
Aggregation Rules include:1. Max: Aggregates are set to the highest available value for each time period.2. Mean: Aggregates are calculated as the average of available data for each time period.3. Mean 66: Aggregates are calculated as the average of available data for each time period.
Values are not shown if more than one third of the observations in the series are missing.4. Median: Aggregates are calculated as the median of available data for each time period.5. Median 66: Aggregates are calculated as the median of available data for each time period. Values are not computed if more than a third of the observations in the series are missing.6. Min: Aggregates are set to the lowest available value for each time period.7. Sum: Aggregates are calculated as the sum of available data for each time period.8. Sum 66: Aggregates are calculated as the sum of available data for each time period.
Sums are not shown if more than one third of the observations in the series are missing.9. Weighted Mean: Aggregates are calculated as weighted averages of available data for each time period.
View, Print Or Download Invoices Access Your Statements Online View Your Referral History Apply For Rate Reviews. 1 3 2 You will need to select a courier to return the parcel. In this example, we’re going to choose TNT Road Express. Click “Book” next to the courier.
Select an appropriate weight variable (GNI, population, GDP, exports, imports, labor force or land area) from the Weight Indicator box, as shown above.10. Weighted Mean 66: Aggregates are calculated as weighted averages of available data for each time period. No aggregate is shown if missing data account for more than one third of the observations in the series. Select an appropriate weight variable (GNI, population, GDP, exports, imports, labor force or land area) from the Weight Indicator box, as shown above.11. Weighted Mean 66POP: Aggregates are calculated as weighted averages of available data for each time period.
![Download Download](https://bloximages.newyork1.vip.townnews.com/postandcourier.com/content/tncms/assets/v3/classifieds/b/12/b1258dc6-b709-5fdf-bd53-ca6a49475ab8/5e71416dcb8ee.preview.jpg)
No aggregate is shown if countries with missing data represent more than one third of the total population of your custom group. Select an appropriate weight variable (GNI, population, GDP, exports, imports, labor force or land area) from the Weight Indicator box, as shown above. To perform mathematical functions on the data over a specified time period, choose the type of operation from the dropdown menu, and then choose your time period. Give a name to your custom function and click Add. Note: The operation will be performed on all selected series. You should be aware that some results may be inappropriate (e.g., growth rates on current price series). Exponential growth rate: the growth rate, r, between two points in time calculated from the equation r = ln(pn/p0)/n, where pn and p0 are the last and first observations in the period, n is the number of years in the period range, and ln is the natural logarithm operator.
This growth rate is based on a model of continuous, exponential growth between two points in time. It does not take into account the intermediate values of the series. Least-squares growth rate: the growth rate estimated by fitting a linear regression trend line to the logarithmic annual values of the variable in the relevant period.
No growth rate is calculated if more than half the observations in a period are missing. The calculated growth rate is an average rate that is representative of the available observations over the entire period.
It does not necessarily match the actual growth rate between any two periods. Geometric growth rate: the growth rate over n periods calculated as r = expln(pn/p0)/n - 1.
It is applicable to compound growth over discrete periods. Like the exponential growth rate, it does not take into account intermediate values of the series. Average (or mean): the sum of values in the period divided by the number of values.
Observations that are not available are ignored, however zero values are included. Median: the middle value in the period. Maximum: the highest value in the period. Minimum: the lowest value in the period. Standard deviation: the square root of the variance. Standard deviation is a measure of how widely values are dispersed from the average value (the mean).
Sum: the sum of the values in the period. Variance: the mean of all squared deviations from the mean. Most recent value: The most recent value (MRV) function will display a value in the specified year range according to the selected order (observation sequence). The default order is 'First' which will display the most recent value available in the period. Selecting a different order, such as 'Second' for example, will display the second-most recent value in the period, etc. MRV options are also available to display the year of the data, either to the left or right of the data value.
The Custom Country option allows you to create your own customized country groupsfrom country selection panel.Click on Custom Country. A new box will open. Click on the desired countries listedin the country selection panel. Enter the group name in the Enter Group Title boxand click on Add. The new country group will be added to the right panel.To edit an existing country group, click on the Edit link in the current selectionpanel in right side.Now you can add new countries or remove the countries to an existing customizedgroup.
Click on the additional countries listed in the country selection panel.2. To remove the country from the group double click on the country or select thecountry and click Remove button. Click on Add to save changes to your customizedgroup. Note: Editing the group name will create a new custom group. You can removethe customized group by clicking on the Delete button in the current selection panelin right side. MyDataBank allows you to derive your own Custom Indicators from existingseries.Click on Custom Indicators. Choose input indicators by clicking on the desired seriesin the panel and use the calculator functions to construct your custom indicatorformula.For example, for a series that shows the percentage of female population, double-clickon the series Population, Female.
Then create a formula by clicking.100/ from thekey pad. Then double click on the series Population, Total.After the formula is complete, you can verify its syntax by clicking the'Validate icon. Give a name to your custom indicator and click on Add.Similarly you can create custom indicators such as GDP per Capita as GDP/Population,and annual growth rates for population as AGR(Population, Total), etc. To have 'notavailable' values in the database treated as zero within your formula, use the NAfunction. Aggregation Rules include:1.
Max: Aggregatesare set to the highest available value for each time period.2. Mean: Aggregatesare calculated as the average of available data for each time period.3. Mean 66: Aggregatesare calculated as the average of available data for each time period. Values arenot shown if more than one third of the observations in the series are missing.4. Median: Aggregatesare calculated as the median of available data for each time period.5. Median 66:Aggregates are calculated as the median of available data for each time period.Values are not computed if more than a third of the observations in the series aremissing.6. Min: Aggregatesare set to the lowest available value for each time period.7.
Sum: Aggregatesare calculated as the sum of available data for each time period.8. Sum 66: Aggregatesare calculated as the sum of available data for each time period. Sums are not shownif more than one third of the observations in the series are missing.9. Weighted Mean:Aggregates are calculated as weighted averages of available data for each time period.Select an appropriate weight variable (GNI, population, GDP, exports, imports, laborforce or land area) from the Weight Indicator box, as shown above.10. Weighted Mean 66:Aggregates are calculated as weighted averages of available data for each time period.No aggregate is shown if missing data account for more than one third of the observationsin the series. Select an appropriate weight variable (GNI, population, GDP, exports,imports, labor force or land area) from the Weight Indicator box, as shown above.11.
Weighted Mean 66POP:Aggregates are calculated as weighted averages of available data for each time period.No aggregate is shown if countries with missing data represent more than one thirdof the total population of your custom group. Select an appropriate weight variable(GNI, population, GDP, exports, imports, labor force or land area) from the WeightIndicator box, as shown above.
Download FORScanFORScan for Windows- freeBuy Extended License:,or- 2 months trialFORScan Lite for iOS - attention: some functions are missing in FORScan Lite. Please see- paid- free, please use it to check compatibility before purchasing FORScan Lite for iOSFORScan Lite for Android - attention: some functions are missing in FORScan Lite. Please see- paid- free, please use it to check compatibility before purchasing FORScan Lite for Android(US only).
![](/uploads/1/2/6/7/126743267/406593021.jpg)