What are the two commonly used methods for classifying accounts

When you classify your data, you can use one of many standard classification methods provided in ArcGIS Pro, or you can manually define your own custom class ranges. Classification methods are used for classifying numerical fields for graduated symbology.

Use manual interval

to define your own classes, to manually add class breaks and to set class ranges that are appropriate for the data. Alternatively, you can start with one of the standard classifications and make adjustments as needed.

Use defined interval

to specify an interval size to define a series of classes with the same value range. For example, if the interval size is 75, each class will span 75 units. The number of classes, based on the interval size and maximum sample size, is determined automatically. The interval size must be small enough to fit the minimum number of classes allowed, which is three.

Use equal interval

to divide the range of attribute values into equal-sized subranges. This allows you to specify the number of intervals, and the class breaks based on the value range are automatically determined. For example, if you specify three classes for a field whose values range from 0 to 300, three classes with ranges of 0–100, 101–200, and 201–300 are created.

Equal interval is best applied to familiar data ranges, such as percentages and temperature. This method emphasizes the amount of an attribute value relative to other values. For example, it shows that a shop is part of the group of shops that make up the top one-third of all sales.

In a quantile classification

, each class contains an equal number of features. A quantile classification is well suited to linearly distributed data. Quantile assigns the same number of data values to each class. There are no empty classes or classes with too few or too many values.

Because features are grouped in equal numbers in each class using quantile classification, the resulting map can often be misleading. Similar features can be placed in adjacent classes, or features with widely different values can be put in the same class. You can minimize this distortion by increasing the number of classes.

With natural breaks classification (Jenks)

, classes are based on natural groupings inherent in the data. Class breaks are created in a way that best groups similar values together and maximizes the differences between classes. The features are divided into classes whose boundaries are set where there are relatively big differences in the data values.

Natural breaks are data-specific classifications and not useful for comparing multiple maps built from different underlying information.

This classification is based on the Jenks Natural Breaks algorithm. For further information, see Univariate classification schemes in Geospatial Analysis—A Comprehensive Guide, 6th edition; 2007–2018; de Smith, Goodchild, Longley.

The geometrical interval classification scheme

creates class breaks based on class intervals that have a geometric series. The geometric coefficient in this classifier can change once (to its inverse) to optimize the class ranges. The algorithm creates geometric intervals by minimizing the sum of squares of the number of elements in each class. This ensures that each class range has approximately the same number of values in each class and that the change between intervals is fairly consistent.

This algorithm was specifically designed to accommodate continuous data. It is a compromise between the equal interval, natural breaks (Jenks), and quantile methods. It creates a balance between highlighting changes in the middle values and the extreme values, thereby producing a result that is visually appealing and cartographically comprehensive.

One example for using the geometrical interval classification is a rainfall dataset in which only 15 out of 100 weather stations (less than 50 percent) have recorded precipitation, and the rest have no recorded precipitation, so their attribute values are zero.

The standard deviation classification method

shows you how much a feature's attribute value varies from the mean. The mean and standard deviation are calculated automatically. Class breaks are created with equal value ranges that are a proportion of the standard deviation—usually at intervals of one, one-half, one-third, or one-fourth—using mean values and the standard deviations from the mean.

  • Graduated colors
  • Graduated symbols
  • Use symbology histograms

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7. Explain the weaknesses and strengths of the two methods for account classification.

Accounts are classified using two approaches:

  • Traditional approach (also known as the British approach)
  • Modern approach (also known as the American approach)

This article briefly discusses how accounts are classified under both approaches.

Classification of Accounts Under the Traditional (or British) Approach


According to the traditional approach, accounts are classified into three types: real accounts, nominal accounts, and personal accounts. Given that it is an old system for classifying accounts, it is used rarely in practice.

Personal Accounts

Personal accounts are the accounts that are used to record transactions relating to individual persons, firms, companies, or other organizations.

Examples of such accounts include an individual’s accounts (e.g., Mr. X’s account), the accounts held by modern enterprises, and city bank accounts.

Impersonal Accounts

Impersonal accounts are those that do not relate to persons. There are two types:

  1. Real accounts (or permanent accounts)
  2. Nominal accounts (or temporary accounts)

Real Accounts

Real accounts exist even after the end of accounting period. For the next accounting period, these accounts start with a non-zero balance, which is carried forward from the previous accounting period.

Examples of such accounts include machinery accounts, land accounts, furniture accounts, cash accounts, and accounts payable accounts.

Usually, real accounts are listed in the balance sheet of the business. For this reason, they are sometimes referred to as balance sheet accounts.

Nominal Accounts

Nominal accounts are closed at the end of the accounting period. For the next account period, these accounts start with a zero balance. Nominal accounts typically cover issues such as income, gains, expenses, and losses.

Normally, nominal accounts are used to accumulate income and expense data. In turn, these data can be used to prepare income statements or trading and profit and loss accounts. For this reason, nominal accounts are sometimes referred to as income statement accounts.

Examples of nominal accounts include sales, purchases, gains on asset sales, wages paid, and rent paid.

Classification of Accounts Under the Modern (or American) Approach

The modern approach has become a standard for classifying accounts in many developed countries.

The main types of accounts used under this approach are mostly self-explanatory.

Specifically, under the modern approach, accounts are classified into the following five groups:

  1. Asset accounts: Examples include land accounts, machinery accounts, accounts receivable accounts, prepaid rent accounts, and cash accounts.
  2. Liability accounts: Examples include loan accounts, accounts payable accounts, wages payable accounts, salaries payable accounts, and rent payable accounts.
  3. Revenue accounts: Examples include sales accounts, service revenue accounts, rent revenue accounts, and interest revenue accounts.
  4. Expense accounts: Examples include wage expense accounts, commission expense accounts, salary expense accounts, and rent expense accounts.
  5. Capital/owner’s equity accounts: An example is an individual owner’s account (e.g., Mr. X’s account).

Example

Consider the list of accounts shown below. Our task is to classify these accounts using both the traditional and modern approaches.

  1. Plant and machinery
  2. Purchases
  3. Sales
  4. Rent
  5. Land and building
  6. Cash
  7. Sam’s capital
  8. Loan from city bank

Traditional classification:

  1. Plant and machinery > Real account
  2. Purchases > Nominal account
  3. Sales > Nominal account
  4. Rent expense > Nominal account
  5. Land and building > Real account
  6. Cash > Real account
  7. Sam’s capital > Personal account
  8. Loan from city bank > Personal account

Modern classification:

  1. Plant and machinery > Asset account
  2. Purchases > Expense account
  3. Sales > Revenue account
  4. Rent expense > Expense account
  5. Land and building > Asset account
  6. Cash > Asset account
  7. Sam’s capital > Capital/owner’s equity account
  8. Loan from city bank > Liability account

Exercises

Traditional approach (also known as the british approach) , modern approach (also known as the american approach)

What are the 3 types of traditional approaches?

Real accounts, nominal accounts, and personal accounts

What are the 5 types of modern approaches?

Asset accounts, liability accounts, revenue accounts, expense accounts, capital/owner’s equity accounts

Why is classification of accounts important?

Classification of accounts in the ledgers is needed to create the Financial Statements. If the sale and purchase of assets have been properly recorded, that makes it easier to see asset classifications you need to report on the balance sheet.

What is the difference between a personal and an impersonal accounts?

A personal account is created and used for the personal needs of a single person, and an impersonal account can be shared with other people.

True Tamplin is a published author, public speaker, CEO of UpDigital, and founder of Finance Strategists.

True is a Certified Educator in Personal Finance (CEPF®), author of The Handy Financial Ratios Guide, a member of the Society for Advancing Business Editing and Writing, contributes to his financial education site, Finance Strategists, and has spoken to various financial communities such as the CFA Institute, as well as university students like his Alma mater, Biola University, where he received a bachelor of science in business and data analytics.

To learn more about True, visit his personal website, view his author profile on Amazon, or check out his speaker profile on the CFA Institute website.

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