Hi Everyone! After being silent for quite a long time, today, I bring you a new Khmer Unicode font namely Kh MPS Prey Veng. Tested with Adobe CS3+ products and Microsoft Office.

Click HERE to download.

Sharing what I've learned and learning what is shared!

Archived Posts from this Category

June 4, 2012

[2] Comments

Hi Everyone! After being silent for quite a long time, today, I bring you a new Khmer Unicode font namely Kh MPS Prey Veng. Tested with Adobe CS3+ products and Microsoft Office.

Click HERE to download.

August 16, 2010

[3] Comments

After taking the quiz at http://www.gagirl.com/quiz/funquiz.html# I have found myself a NERD. I’ve never noticed it before! But what is a NERD? Here, as described on Wikipedia, The description works find for my case. It is true that I am often excluded from physical activity and considered a loner by peers, or will ten to associate with like-minded people. |

July 13, 2010

[3] Comments

Some time we can try to send our self a copy by using the option BCC (Blind Carbon Copy) which will send us a copy without letting the recipient know you are sending to yourself. Still, this is not a good solution, if the problem is not at your side. You may receive your own e-mail while your recipient may not.

So what else can you do? Following is the suggested way you should try.

**FOR OFFICE XP/2003**

1. Create a new message. Click the **Options** button. The **Message Options** window will appear.

2. In the **Voting and Tracking Options** area, check **Request a delivery receipt for this message.**

Click **OK**

Now you can compose your message and send.

**FOR OFFICE 2007, PLEASE FOLLOW THE FOLLOWING STEPS**

Create a new message and click on the **Options button**.

Check the option-**Request a Delivery Receipt**. It is much easier than the earlier versions.

Now you can compose your message and send.

**This option helps you make sure your mail reaches your recipient. If you want to even make sure that your e-mail is opened by your recipient, then use the following option: **

April 20, 2010

[20] Comments

Download font here!

This is a new font I created during the New Year Holiday. It was not created from the scratch but from the existing font, ABC family. I just made some changes, yet what is important is it becomes Khmer Unicode font.

MPSINFO

November 13, 2008

Leave a Comment

Chart Type |
PIG |
Typical Applications |
Variants, Remarks |
---|---|---|---|

Area |
Yes | Cumulated totals (numbers or percentages) over time | Percentage, Cumulative |

Column/Bar |
Yes | Observations over time or under different conditions; data sets must be small | Vertical (columns), horizontal (bars); multiple columns/bars, columns/bars centered at zero |

Segmented Column/Bar |
Yes | Proportional relationships over time | May be scaled to 100% |

Frequency Polygon |
No | Discrete frequency distribution | |

Histogram |
No | Discrete frequency distribution | Columns/bars without gaps |

Line, Curve |
Yes | Trends, functional relations | Data point connected by lines or higher order curves |

Pie |
Yes | Proportional relationships at a point in time | Segments may be pulled out of the the pie for emphasis (exploded pie chart) |

Scatterplot |
No | Distribution of data points along one or two dimensions | One-dimensional, two-dimensional |

Map |
No | Typically used for geographical data; can also be used for parts of devices, human or animal bodies | Useful, if an analog relation can be used for representing data |

The column PIG indicates whether the respective charts types are available as Portable Interactive Graphics.

**Figure 1**: Area chart

- Display over time (or any other dimension):
- How a set of data adds up to a whole (cumulated totals)
- Which part of the whole each element represents

**Percentage**: The sum always represents 100% (relative scale)**Cumulative**: The sum can vary according to the elements (absolute scale)

- Present few data over a nominal (e.g. countries, testing conditions, …) or interval scale (e.g. time); useful for comparisons of data

- Comparisons: Better use one-dimensional scatterplots, because these are not dominated by bars or columns.
- Larger data sets: Use line charts.

- Use analogy as a selection criterion, if applicable; when in doubt, use columns
- Use a horizontal bar chart if the labels are too long to fit under the columns

**Multiple Column/Bar Chart**: Use it to present data rows for several variables**Side-by-Side Chart**: Use it to (1) show contrasting trends between levels of an independent variable, (2) if comparisons between individual pairs of values are most important; do**not**use for more than two independent variables

**Figure 2**: Multiple column chart (left), side-by-side chart (right)

**Other Names**: Divided or stacked column/bar chart

**Figure 3**: Segmented column chart (relative values)

- Present a part-whole relation over time (with accurate impression, see below)
- Show proportional relationships over time
- Display wholes which are levels on a nominal scale

Segmented column/bar charts are more accurate than pie chart, because distances can be more accurately estimated than areas.

**Figure 4**: Histogram as frequency distribution

**Polygon**: Connects data points through straight lines or higher order graphs**Histogram**: Columns/bars touch; useful for larger sets of data points, typically used for frequency distributions**Staircase Chart**: Displays only the silhouette of the histogram; useful for even larger sets of data points, typically used for frequency distributions**Step chart**: Use it to illustrate trends among more than two members of nominal or ordinal scales; do**not**use it for two or more variables or levels of a single variable (hard to read)**Pyramid histogram**: Two mirror histograms; use it for comparisons

**Figure 5**: Line chart

- To display long data rows
- To interpolate between data points
- To extrapolate beyond known data values (forecast)
- To compare different graphs
- To find and compare trends (changes over time)
- To recognize correlations and covariations between variables
- If the X axis requires an interval scale
- To display interactions over two levels on the X axis
- When convention defines meaningful patterns (e.g. a zigzag line)

Line graphs may consist of line or curved segments:

- Lines: Use straight lines to connect “real” data points
- Curves: Use curves to represent functional relations between data points or to interpolate data

- If the X axis has non-numeric values

- Graph with
**double-logarithmic**or**half-logarithmic**scale divisions - Graph with variance bars, stock charts (High/Low/Close) etc.

**Figure 6**: Pie chart

- convey approximate proportional relationships (relative amounts) at a point in time
- compare part of a whole at a given point in time
- Exploded: emphasize a small proportion of parts

- For exact comparisons of values, because estimating angles is difficult for people.
- For rank data: Use column/bar charts in this case; use multiple column/bar charts for grouped data
- If proportions vary greatly; do not use multiple pies to compare corresponding parts.

- Pie charts cannot represent values beyond 100%.
- Each pie chart is valid for one point in time only.
- Pie charts are only suited to presenting quite a few percentage values.
- Angles are harder to estimate for people than distances; perspective pie charts are even harder to interpret.

**Figure 7**: One-dimensional scatterplot (left), two-dimensional scatterplot (right)

**One-dimensional scatterplot**: Data point are drawn above a baseline (as in column/bar charts). Here the data points are not connected but remain isolated data points.**Two-dimensional scatter plot**: Shows correlation between two data sets. This chart type has two dependent variables: One is plotted along the X axis, the other along the Y axis; the independent variable is the intersection of both dependent variables, realized as a data point in the diagram.

- Show measurements over time (one-dimensional scatterplot)
- Convey an overall impression of the relation between two variables (Two-dimensional scatterplot)

- Determining and comparing trends, interpolation, extrapolation, recognition and comparison of change rates
- More than one independent variable: Avoid illustrating more than one independent variable in a scatter plot

October 24, 2008

[2] Comments

We’ve all been hearing about the new IMAP support in Gmail, but how do we access that from Outlook? Those of you that have been waiting patiently will be happy to know all the instructions are on this page.

Using IMAP we can synchronize email across multiple devices, since the mail stays on the server. You already stopped reading this part and skipped down to the instructions, didn’t you?

អានបន្ត | READ MORE