Report Intern Final

7/31/2019 Report Intern Final

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Chapter 1

Introduction

1.1 Organization Background

WHO-IPD (Programme for Immunization Preventable Diseases) formerly known as

Polio Eradication Nepal (PEN) provides technical support to the Ministry of Health

and Population (MoHP) for vaccine preventable diseases (VPDs) in Nepal. Since its

establishment in 1998, IPD has been supporting the Government of Nepals endeavor

to strengthen the surveillance of acute flaccid paralysis (AFP for polio), measles,neonatal tetanus , acute encephalitis syndrome (AES for Japanese encephalitis), and

the routine immunization programme. IPD supports these activities in close

collaboration with the Child Health Division, Epidemiology and Diseases Control

Division, and National Public Health Laboratory under the Department of Health

Services of Ministry of Health and Population. IPD currently has 11 field offices with

15 surveillance medical officers. All of the IPD field offices operate in close

coordination with the Regional Health Directorates and the District (Public) Health

Offices to carry out the surveillance and immunization related activities.

1.1.1 IPDs Core Activities

1. Surveillance of VPDs

2. Surveillance support for other infectious diseases

3. Support for routine and supplementary immunization activities

4. Support in policy formulation and strategy development for the NationalImmunization Programme. (NIP)

5. Research, publication and dissemination of surveillance information and

guidelines

6. Social mobilization

7. Coordination with partners

8. Technical support to MOHP for laboratory diagnosis of VPDs


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1.2 Schedules for Internship

S.NLearning objectives April May June

Week 3

((16-22)

Week 4

(23-30)

Week 1

(1-8)

Week 2

(9-16)

3 4 1 2 3 4

1. Learn about

designing forms,

Modifying database

Assist in day to day

activities.

Develop a conversion

software

2. understand dataverification by

checking for

inconsistencies

3. generating analysis

tools like graphs,

maps etc

4. . Know about

importing and

exporting data from

various file format

to and from database

5. Understanding

querying on single

& multiple relations

6. Know about

backup, restore and

recovery


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1.3 Task performed during internship

1.3.1 Data entry:

Since the advent of computers, and since the beginning of typing, the need to

collect and neatly present documents has required data entry.

Data entry is the act of transcribing some form of data into another form, usually a

computer program. Forms of data that people might transcribe include handwritten

documents, information off spreadsheets from another computer program, sequences

of numbers, letters and symbols that build a program, or simple data like names and

addresses.

Disease surveillance is the routine ongoing collection, analysis and dissemination of

health data that includes the detection and notification of health events, investigation

and confirmation of cases or outbreaks, creation of reports, provision of feedback, and

feed-forward to the higher levels for public health interventions. To direct these

interventions the surveillance team must provide detailed epidemiological

information.

1.3.2 Data Verification and Validation

Data verification is a process which ensures the completeness, correctness, and

compliance of a data set against the applicable needs or specifications. This we all

know. We even know data verification takes into consideration the double check of

procured data to correct all the necessary human errors against the actual information

gathered.

The purpose of data verification is to ensure that the stored data can be easily located

and found whenever searched for irrespective of technical specifications, the location,

and the source. So that effectively it can help in accelerates organizational processes.

Data validation is the process of ensuring that a program operates on clean, correct

and useful data. It uses routines, often called "validation rules" or "check routines",

that check for correctness, meaningfulness, and security of data that are input to the
http://www.wisegeek.com/what-is-a-spreadsheet.htmhttp://en.wikipedia.org/wiki/Validation_rulehttp://en.wikipedia.org/wiki/Validation_rulehttp://www.wisegeek.com/what-is-a-spreadsheet.htm


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system. The rules may be implemented through the automated facilities of a data

dictionary, or by the inclusion of explicit application program validation logic.

The simplest data validation verifies that the characters provided come from a valid

set. For example, telephone numbers should include the digits and possibly the

characters (plus, minus, and brackets). A more sophisticated data validation routine

would check to see the user had entered a valid country code, i.e., that the number of

digits entered matched the convention for the country or area specified.

Validation methods

Allowed character checks

Checks that only expected characters are present in a field. For example a

numeric field may only allow the digits 0-9, the decimal point and perhaps a

minus sign or commas.

Consistency checks

Checks fields to ensure data in these fields corresponds, e.g. If District Code=

"KTM", then District name = "Kathmandu".

Data type checks

Checks the data type of the input and give an error message if the input data

does not match with the chosen data type, e.g., In an input box accepting

numeric data, if the letter 'O' was typed instead of the number zero, an error

message would appear.

Format or picture check

Checks that the data is in a specified format (template), e.g. dates have to be in

the format DD/MM/YYYY.Regular expressions should be considered for this type of validation.

Limit check

Unlike range checks, data is checked for one limit only, upper OR lower, e.g.,

data should not be greater than 2 (


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Presence check

Checks that important data are actually present and have not been missed out,

e.g., Patient name must always be specified.

Range check

Checks that the data lie within a specified range of values, e.g., the month of a

person's date of birth should lie between 1 and 12.

Spelling and grammar check

Looks for spelling and grammatical errors.

Uniqueness check

Checks that each value is unique. This can be applied to several fields but

mostly applied to primary keys.

Table Look up Check

A table look up check takes the entered data item and compares it to a valid

list of entries that are stored in a database table.for e.g. it is used to validate the

names of villages or municipalities.

1.3.3 Data Cleaning

Data cleansing, data cleaning, or data scrubbing is the process of detecting and

correcting (or removing) corrupt or inaccurate records from a record set, table, or

database. Used mainly in databases, the term refers to identifying incomplete,

incorrect, inaccurate, irrelevant, etc. parts of the data and then replacing, modifying,

or deleting this dirty data.

After cleansing, a data set will be consistent with other similar data sets in the system.

The inconsistencies detected or removed may have been originally caused by user

entry errors, by corruption in transmission or storage, or by different data dictionary

definitions of similar entities in different stores.

Data cleansing differs from data validation in that validation almost invariably means

data is rejected from the system at entry and is performed at entry time, rather than on

batches of data.
http://en.wikipedia.org/wiki/Storage_recordhttp://en.wikipedia.org/wiki/Table_%28database%29http://en.wikipedia.org/wiki/Databasehttp://en.wikipedia.org/wiki/Dirty_datahttp://en.wikipedia.org/wiki/Data_sethttp://en.wikipedia.org/wiki/Data_dictionaryhttp://en.wikipedia.org/wiki/Data_validationhttp://en.wikipedia.org/wiki/Data_validationhttp://en.wikipedia.org/wiki/Data_dictionaryhttp://en.wikipedia.org/wiki/Data_sethttp://en.wikipedia.org/wiki/Dirty_datahttp://en.wikipedia.org/wiki/Databasehttp://en.wikipedia.org/wiki/Table_%28database%29http://en.wikipedia.org/wiki/Storage_record


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The actual process of data cleansing may involve removing typographical errors or

validating and correcting values against a known list of entities. The validation may

be strict (such as rejecting any address that does not have a valid postal code) or fuzzy

(such as correcting records that partially match existing, known records).

All data is dirty or inconsistent. That's one of the rules of computer- assisted

reporting. That means, perforce, that all data must also be cleaned. Data cleaning can

be performed with update, find and replace, lookup table. But we should always work

off a copy of your table to preserve the original data in its raw form.

1.3.4 Data Backup

Backup or the process of backing up is making copies of data which may be used to

restore the original after a data loss event.

Backups have two distinct purposes. The primary purpose is to recover data after its

loss, be it by data deletion or corruption. Data loss can be a common experience of

computer users. The secondary purpose of backups is to recover data from an earlier

time, according to a user-defined data retention policy, typically configured within abackup application for how long copies of data are required. Though backups

popularly represent a simple form of disaster recovery, and should be part of a

disaster recovery plan, by themselves, backups should not alone be considered

disaster recovery.

1.3.5 Data Analysis

Analysis of data is a process of inspecting, cleaning, transforming, and modeling datawith the goal of highlighting useful information, suggesting conclusions, and

supporting decision making. Data analysis has multiple facets and approaches,

encompassing diverse techniques under a variety of names, in different business,

science, and social science domains.

Type of data
http://en.wikipedia.org/wiki/Typographical_errorhttp://en.wikipedia.org/wiki/Postal_codehttp://en.wikipedia.org/wiki/Fuzzy_logichttp://en.wikipedia.org/wiki/Datahttp://en.wikipedia.org/wiki/Data_losshttp://en.wikipedia.org/wiki/Data_corruptionhttp://en.wikipedia.org/wiki/Data_retentionhttp://en.wikipedia.org/wiki/Disaster_recoveryhttp://en.wikipedia.org/wiki/Datahttp://en.wikipedia.org/wiki/Informationhttp://en.wikipedia.org/wiki/Informationhttp://en.wikipedia.org/wiki/Datahttp://en.wikipedia.org/wiki/Disaster_recoveryhttp://en.wikipedia.org/wiki/Data_retentionhttp://en.wikipedia.org/wiki/Data_corruptionhttp://en.wikipedia.org/wiki/Data_losshttp://en.wikipedia.org/wiki/Datahttp://en.wikipedia.org/wiki/Fuzzy_logichttp://en.wikipedia.org/wiki/Postal_codehttp://en.wikipedia.org/wiki/Typographical_error


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Data can be of several types

Quantitative data is a number

Often this is a continuous decimal number to a specified number of

significant digits

Sometimes it is a whole counting number

Categorical data : data one of several categories

Qualitative data : data is a pass/fail or the presence or lack of a characteristic

Data analysis and report generation can be performed by Pivoting and charting.

1.3.6 Performing Queries

Queries can be used to quickly analyze and sort information that is in an Access

database. A query allows to present a question to your database by specifying specific

criteria.

Queries allow to specify:

The table fields that appear in a query.

The order of the fields in a query.

Filter and sort criteria for each field in a query.

Queries have two views:

Design view Datasheet view

In the Design view, we specify which tables we want to see, which tables they

come from, and the criteria that records have to meet in order to appear on the

resulting database. Criteria are tests that records have to pass. In the Query

Datasheet view, we view the records that are found to meet your criteria.
http://en.wikipedia.org/wiki/Quantitative_datahttp://en.wikipedia.org/wiki/Decimalhttp://en.wikipedia.org/wiki/Significant_digitshttp://en.wikipedia.org/wiki/Countinghttp://en.wikipedia.org/wiki/Categorical_datahttp://en.wikipedia.org/wiki/Categorical_datahttp://en.wikipedia.org/wiki/Qualitative_datahttp://en.wikipedia.org/wiki/Qualitative_datahttp://en.wikipedia.org/wiki/Qualitative_datahttp://en.wikipedia.org/wiki/Categorical_datahttp://en.wikipedia.org/wiki/Countinghttp://en.wikipedia.org/wiki/Significant_digitshttp://en.wikipedia.org/wiki/Decimalhttp://en.wikipedia.org/wiki/Quantitative_data


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When we run a query, Access pulls data out of tables and puts the data in a database

for us to see. The original table and database stay connected, so that if we make

changes to the data on the database, the results of the query also change.

A select query can be used to select certain data from a table or tables. It basically

filters and sorts the data and can perform simple calculations, such as summing and

averaging.


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1.4 Statement of Problem and Objectives

WHO-IPD receives the surveillance data from 11 field offices and 15 medical officers

from across the country. The data is received in Microsoft Excel format which isbeing manually entered into the Access database.

The problem with this approach is:

1. Time consuming

2. Prone to human error during data insertion.

3. Resource Overhead

Hence, It was determined that automated computerized system to update the database

with the periodic surveillance data would do benefit to the organization. And the task

of developing prototype software for this objective was given to me during the period

of my internship.


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1.5 Literature review and methodology

There are a number of tools available for the purpose of converting spreadsheet files

into access database. Also the Microsoft Access itself has an option to export datafrom the excel files.

But the WHO-IPD requires the customized converter as some of the fields are

dependent upon the other, some need to be removed and some fields should be added

and data need to be validated before insertion into database.

The conversion of .xls file to .mdb file will be a 2 step process:

1. Convert .xls file to .csv (Comma Separated Variable) format.

We will make use of ExcelDataReader v.2.0.1.0 , a Lightweight and fast library

written in C# for reading Microsoft Excel files ('97-2007). Thus read rows of source

excel file will be converted to CSV file in the first phase.

2. Bulk insert the data from CSV file to access database.


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Chapter 2

System Analysis

System development can generally be thought of having two major components:

systems analysis and systems design. In System Analysis more emphasis is given to

understanding the details of an existing system or a proposed one and then deciding

whether the proposed system is desirable or not and whether the existing system

needs improvements. Thus, system analysis is the process of investigating a system,

identifying problems, and using the information to recommend improvements to the

system. During System analysis 2 types of requirement analysis is performed:

2.1 Functional Requirement

The system should be able to convert flat excel files to database files. Functional

requirements explain what has to be done by identifying the necessary task, action or

activity that must be accomplished. Functional requirements analysis will be used as

the top level functions for functional analysis.

2.2 Non Functional Requirement

Non-functional requirements are requirements that specify criteria that can be

used to judge the operation of a system, rather than specific behavior. Non functional

requirement are the quality requirements that can guarantee or promise how well

software do. Non Functional Requirement is specified as:

Performance:

It is the measure of the response time. It is the issue concerned with Short response

time for a given piece of work , High throughput (rate of processing work), Lowutilization of computing resource( s) , High availability of the computing system or

application.

Reliability
http://en.wikipedia.org/wiki/Functional_requirementhttp://en.wikipedia.org/wiki/Functional_requirementhttp://en.wikipedia.org/wiki/Non-functional_requirementhttp://en.wikipedia.org/wiki/Response_time_%28technology%29http://en.wikipedia.org/wiki/Response_time_%28technology%29http://en.wikipedia.org/wiki/Throughputhttp://en.wikipedia.org/wiki/Computing_resourcehttp://en.wikipedia.org/wiki/High_availabilityhttp://en.wikipedia.org/wiki/High_availabilityhttp://en.wikipedia.org/wiki/Computing_resourcehttp://en.wikipedia.org/wiki/Throughputhttp://en.wikipedia.org/wiki/Response_time_%28technology%29http://en.wikipedia.org/wiki/Response_time_%28technology%29http://en.wikipedia.org/wiki/Non-functional_requirementhttp://en.wikipedia.org/wiki/Functional_requirementhttp://en.wikipedia.org/wiki/Functional_requirement


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It means the extent to which program performs with required precision. The system

developed should be extremely reliable and error free. Reliability is often measured as

probability of failure, frequency of failures, or in terms of availability.

Usability

The application should be user friendly and should require least effort to operate.

Flexibility

It is effort required to modify operational program. The whole application should be

made using independent modules so that any changes done in one module should not

affect the other one and new modules can be added easily to increase functionality.
http://en.wikipedia.org/wiki/Probabilityhttp://en.wikipedia.org/wiki/Availabilityhttp://en.wikipedia.org/wiki/Availabilityhttp://en.wikipedia.org/wiki/Probability


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Chapter 3

3. System Design3.1 DFD(Data Flow Diagram)

DFD is a picture of the movement of data between external entities and the processes

and data stores within a system.

Excel File

Filename

Access Database filename Selected file

Datarecords

csv file

file name Sheet

CSV file

Csv file File and folder name

Figure 1: DFD of the system to convert excel to access format.

6

Insert intodatabase

5

Select CSV file

USER

1

Select ExcelFile

4

Convert File

3

Specify Outputfilename and

folder

2

Select Sheet


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3.2 Use Case Diagram

A Use case is a list of steps, typically defining interactions between a role/ actor and a

system, to achieve a goal. The actor can be a human or an external system.

3.2.1 ( Excel to CSV conversion module)

USER

Select Excel file

Select the sheet

Specify output folderand file name

Convert Excel file toCSV


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3.2.2 (Module to insert into database)

USER

Select CSV file

Specify Database

Insert into database


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3.3 External Design:

The goal of external design is to create a description of all elements of the application which

interact with users or external systems.

3.3.1 User Interface

User Interface Design is concerned with how users add information to the system and with

how the system presents information back to them.


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3.4 Internal Design

3.4.1 Database Design

Database design is the process of producing a detailed data model of a database. This logical

data model contains all the needed logical and physical design choices and physical storage

parameters needed to generate a design in a Data Definition Language, which can then be

used to create a database. A fully attributed data model contains detailed attributes for each

entity.

Field Name Data Type

CaseID TEXT

OutbreakID TEXT

Source TEXT

SourceName TEXT

PatientName TEXT

COUNTRY TEXT

Region TEXT

DISTRICT TEXT

VDC/Muni TEXT

Ward NUMBER

DNOT DATE/TIME

DOI DATE/TIME

DOB DATE/TIME

SEX TEXT

Ageyr NUMBER

Agem NUMBER

AGRP TEXT

Vaccinated TEXT

Hospitalized TEXT

OUTCOME TEXT
http://en.wikipedia.org/wiki/Data_modelhttp://en.wikipedia.org/wiki/Databasehttp://en.wikipedia.org/wiki/Logical_data_modelhttp://en.wikipedia.org/wiki/Logical_data_modelhttp://en.wikipedia.org/wiki/Data_Definition_Languagehttp://en.wikipedia.org/wiki/Data_Definition_Languagehttp://en.wikipedia.org/wiki/Logical_data_modelhttp://en.wikipedia.org/wiki/Logical_data_modelhttp://en.wikipedia.org/wiki/Databasehttp://en.wikipedia.org/wiki/Data_model


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DONSET DATE/TIME

RASH TEXT

FEVER TEXT

COUGH TEXT

CORYZA TEXT

CONJUNCTIVITIS TEXT

VitaminA TEXT

AnySpecimen TEXT

DateBlood DATE/TIME

LabID TEXT

Serum TEXT

Rubella TEXT

DateUrine DATE/TIME

UrineResult TEXT

DateThroatSwab DATE/TIME

ThroatSwabResult TEXT

CLASS TEXT

Fup TEXT

DFUP TEXT

Travel TEXT


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Chapter 4

4. Implementation

After system analysis and system design phase, comes the implementation phase. It

includes :

1.Coding

2.Testing

3.Installation

4.Documentation

5.Maintenance

4. 1 Coding

During coding, physical design is converted to program by coding programming

language. Coding is the process of designing, writing, testing, debugging, and maintaining

the source code of computer programs. This source code is written in one or more

programming languages. The coding and testing process are parallel executed during

the project implementation phase. The software was developed using .Net framework with C# for coding and OLEDB .

4.2 Testing

System testing is the stage of implementation that is aimed at ensuring that the

system works accurately and efficiently before live operation commences. Testing is

vital to the success of the system. System testing makes logical assumption that if all

the parts of the system are correct, then the goal will be successfully achieved. A

series of testing are done for the system before the system is ready for the user

acceptance testing.

The following are the types of Testing:

1. Unit Testing

2. Integration Testing

3. Validation Testing
http://en.wikipedia.org/wiki/Software_designhttp://en.wikipedia.org/wiki/Software_testinghttp://en.wikipedia.org/wiki/Debugginghttp://en.wikipedia.org/wiki/Source_codehttp://en.wikipedia.org/wiki/Computer_programhttp://en.wikipedia.org/wiki/Programming_languagehttp://en.wikipedia.org/wiki/Programming_languagehttp://en.wikipedia.org/wiki/Computer_programhttp://en.wikipedia.org/wiki/Source_codehttp://en.wikipedia.org/wiki/Debugginghttp://en.wikipedia.org/wiki/Software_testinghttp://en.wikipedia.org/wiki/Software_design


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Unit Testing:

The procedure level testing is made first. By giving improper inputs, the errors

occurred are noted and eliminated.

Initially the CSV conversion module is tested to verify that the excel files are

being correctly converted to the CSV format and the insertion module is tested to

verify that

Integration Testing

Testing is done for each module. After testing all the modules, the modules are

integrated and testing of the final system is done with the test data, specially designed

to show that the system will operate successfully in all its aspects conditions. Thus the

system testing is a confirmation that all is correct and an opportunity to show the user

that the system works.

Validation Testing

The final step involves Validation testing, which determines whether the

software function as the user expected. The end-user rather than the system developer

conduct this test most software developers as a process called Alpha and Beta

Testing to uncover that only the end user seems able to find.

The compilation of the entire project is based on the full satisfaction of the end

users. In the project, validation testing is made in various forms. In question entry

form, the correct answer only will be accepted in the answer box. The answers otherthan the four given choices will not be accepted.

4.3.Installation

Installation is the act of making the program ready for execution.
http://en.wikipedia.org/wiki/Execution_%28computing%29http://en.wikipedia.org/wiki/Execution_%28computing%29


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4.4.Documentation

Software documentation or source code documentation is written text that accompanies

computer software. It either explains how it operates or how to use it, and may meandifferent things to people in different roles.

Documentation is an important part of software engineering. Types of documentation

include:

1. Requirements - Statements that identify attributes, capabilities,

characteristics, or qualities of a system. This is the foundation for what shall

be or has been implemented.

2. Architecture/Design - Overview of software. Includes relations to an

environment and construction principles to be used in design of software

components.

3. Technical - Documentation of code, algorithms, interfaces, and APIs.

4. End User - Manuals for the end-user, system administrators and support

staff.

5. Marketing - How to market the product and analysis of the market demand.
http://en.wikipedia.org/wiki/Computerhttp://en.wikipedia.org/wiki/Softwarehttp://en.wikipedia.org/wiki/Documentationhttp://en.wikipedia.org/wiki/Documentationhttp://en.wikipedia.org/wiki/Softwarehttp://en.wikipedia.org/wiki/Computer


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4.4.1 End User Documentation:

1.Step 1Select the excel filename, by clicking on the browse button.

2.Step2 Select the sheet from the drop down list that displays the names of sheet in

the selected excel file.


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3.Step 3 Specify the output filename and output folder and then click the convert

button. It will display the File Converted message box. Now the excel file is

converted to CSV file.


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4.Step 4 Then select the file to be inserted and specify database name, then click

INSERT button. It will display a message box successfullt inserted.


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Chapter 5

Limitations and future Enhancements

During testing with other data, it was successful in converting other excel files

to access file but in case of VPDIFA database, before implementation, the

excel file should be pre-processed to match the field types defined in VPDIFA

which is based on MS Access.

Preprocessing task includes:

The header information in the excel file should always be removed. But once the header information is removed, outbreak code and

outbreak date reported (if any) would not be accessible. Also as data

related to outbreak spans on multiple cells it can t be extracted, hence

should be dealt with manually.

Swap the position of columns in excel file to the position in database

file. Separate VDC/Municipality name and ward number. Identify the age group.

Limitations of this Software:

It assumes that Source column has always only the numbers 1,2,3,4,5

representing SMO,AS,RU,OS,RRT respectively. Can't check the spellings of VDC and Municipalities. But it is enforced

that the name of VDC/Municipality should be same as defined

previously. Hence, the program might throw error if the spelling of

VDC/Municipality doesn't match as specified.


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Conclusion

The work I made during my internship gave me a lot of knowledge in the fieldof database management, such as data validation and verification, cleaning, analysis,performing queries, along with designing and implemention of forms. The file formatconversion software I developed during this period gave me an insight on variousaspects of programming and MS access database.In review this internship has been an excellent and rewarding experience.


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References

http://exceldatareader.codeplex.com/

www.whoipd.org

http://en.wikipedia.org

http://stackoverflow.com
http://exceldatareader.codeplex.com/http://www.whoipd.org/http://en.wikipedia.org/http://en.wikipedia.org/http://www.whoipd.org/http://exceldatareader.codeplex.com/


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Annexure

1.Source Code

//Code to read Excel files.

private void getExcelData(string file)

{

if (file.EndsWith(".xlsx"))

{

FileStream stream = File.Open(file, FileMode.Open, FileAccess.Read);

IExcelDataReader excelReader =ExcelReaderFactory.CreateOpenXmlReader(stream);

result = excelReader.AsDataSet();

excelReader.Close();

}

if (file.EndsWith(".xls"))

{

FileStream stream = File.Open(file, FileMode.Open, FileAccess.Read);IExcelDataReader excelReader =

ExcelReaderFactory.CreateBinaryReader(stream);

result = excelReader.AsDataSet();

excelReader.Close();

}

List items = new List();

for (int i = 0; i < result.Tables.Count; i++)

items.Add(result.Tables[i].TableName.ToString());

comboBox1.DataSource = items;

}


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//Code to convert into CSV format

private void convertToCsv(int ind)

{string a = "";

int row_no = 0;

while (row_no < result.Tables[ind].Rows.Count)

{

for (int i = 0; i < result.Tables[ind].Columns.Count; i++)

{

if (i == 6 || i == 8){

}

else if (i == 2)

{

a += result.Tables[ind].Rows[row_no][i].ToString();

if (result.Tables[ind].Rows[row_no][2].ToString() == "1")

a += " - SMO";

else if (result.Tables[ind].Rows[row_no][2].ToString() == "2")

a += " - AS";


a += " - RU";


a += " - OS";

else if(result.Tables[ind].Rows[row_no][2].ToString() == "5")

a += " - RRT";

a += ",";

}

else

a += result.Tables[ind].Rows[row_no][i].ToString() + ",";


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}

row_no++;

a += "\n";

}

string output = textBox1.Text + "\\" + textBox2.Text + ".csv";

StreamWriter csv = new StreamWriter(output, false);

csv.Write(a);

csv.Close();

MessageBox.Show(" File Converted");

txt_browse.Text = "";

textBox2.Text = "";

textBox1.Text = "";

comboBox1.DataSource = null;

return;

}

//Code to insert modify the attribute values and insert into database

private void button1_Click(object sender, EventArgs e)

{

StreamReader sr = new StreamReader(Txt_SelectToInsert.Text);string tex = sr.ReadToEnd();

char[] text = tex.ToCharArray();

int count = 0;

int array_index = 0;

while(count != text.Length)

{

if(Convert.ToString(text[count]) != "\n")


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count++;

else

{

array_index++;

count++;

}

}

string[] db = new string[array_index];

int j = 0;

int i = 0;

while (i < array_index)

{

if (Convert.ToString(text[j]) != "\n")

{

db[i] += Convert.ToString(text[j]);

j++;

}

else

{

i++;

j++;

}}

for (i = 0; i < array_index; i++)

{

string constr = @"Provider=Microsoft.Jet.OLEDB.4.0; Data Source = "+

txt_db.Text +"";

OleDbConnection conn = new OleDbConnection(constr);


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try

{

conn.Open();

OleDbCommand cmd = new OleDbCommand();

cmd.Connection = conn;

string dummy_var = Convert.ToString(db[i]);

char[] final = dummy_var.ToCharArray();

string enter = "'MSLNEP";

int x = 0;

for (x = 0; x < dummy_var.Length-1; x++)

{

if (final[x] != Convert.ToChar(","))

enter += final[x];

else

{

enter += "'";

enter += ",";

enter += "'";

}

}

enter += "'";

cmd.CommandText = "insert into final_tbl values(" + enter + ")";

cmd.ExecuteNonQuery();

}

catch (Exception ex)

{

MessageBox.Show("Error try again" + "\n" + ex);

}


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finally

{

conn.Close();

}

}

Txt_SelectToInsert.Text = " ";

txt_db.Text = " ";

}

private string District_check(string district)

{

switch (district)

{

//code for returning district name based on district codes

default:

return " ";

}

}

Report Intern Final

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Transcript of Report Intern Final