(PDF) Qualitative Data Analysis Techniques
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Added on 2021-02-22
(PDF) Qualitative Data Analysis Techniques
Added on 2021-02-22
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USING DATA
Table of ContentsINTRODUCTION...........................................................................................................................1MAIN BODY...................................................................................................................................1Data analysis of Treval Pac, for the third Quester of 2017 over the travelling patters ofpassengers in UK.........................................................................................................................1The tools and techniques used for decision making of the Travel Pac.......................................3Application of data method over the data...................................................................................3Interpretation of data and presenting results...............................................................................7Presenting recommendation to Travel Pac over a potential target segment..............................8CONCLUSION................................................................................................................................8REFERENCES..............................................................................................................................10
INTRODUCTION The business organisations uses the techniques of data analysis to evaluate differenttypes of data and information gathered over a particular subject matter or topic. In this regarddata analysis can be defined as a process where by data is eventuated with use of different toolsand techniques and through bifurcating it under various variable to reach an outcome over thedata collected. In the present report the data is gathered is related with travellers who havevisiting UK for various purposes in third quarter of 2017 belong to various nations and havingdistinct residential status. For this the data variables are analysed under which data is separatedunder various categories and then the use of a statistical method and tool is done to reach aneffective outcome over the data. Also, the rules so reached are interpreted and for therecommendation are present before reaching to final conclusion of the report. MAIN BODYData analysis of Treval Pac, for the third Quester of 2017 over the travelling patters ofpassengers in UK The internal passenger Survey have collected data for a time period of 3 month that isthe third quarter of 2017 for the organisation Travel pac. The data is related with the travellingpattern of people from the UK as well as outside UK. The data is gathered under disagreementcategorise such as age, sex, duration and others. Over all the data is presented under 14 distinctcategorises which gave different criteria of collection and gives a different understanding forevaluation of the data (Silverman, 2018). The main heading and their sub headings are: The year: is defined as a time frame of 12 months which starts from the month ofJanuary with ending at December month this is the calender year which is different from fiscalyear. For the present year the year which is selected for data collection over the travellingpatterns of traveller in UK is 2017. Quarter: is a time of 3 month in a year which means there are 4 quarter in a year. Thefirst quarter start from January and end n the moth on march and after these comes another threequarter. The particular quarter fro which data is collected over the traveller in UK for year 2017is the third quarter which starts in month of July and ends in September. Age: category defines the age of the traveller where the age is set out as a age groupwith a interval of 10 years. The age of the traveller under this data is bifurcated in the 7 sevenn1
section which starts with the age of 1 and there is no maximum age set. The different section ofthe age are . 0-15, 16-24, 25-34, 35-44, 45-54, 55-64 and 65 & over. Sex: category definiens the gender of the person travelling to UK. There 4 section ofgender fro which data is collected that is male, female, the sex is not known and null. The lattertwo categorises are least used where it is difficult to identify the gender of a person. Travel mode: identifies the mode through which the traveller have travelled to UK andreached other destination in the UK. These category is divided into three sub heading which isair, water or tunnel (Wickham, 2016). These means travellers under these data have travelled toUK through these mode only and there is another mode of travelling considered this data. Visiting purpose: defines the purposed over which a person have gone to UK. There aredifferent purpose for which people have travelled to UK. These includes , holiday, VFR,business, study and miscellaneous. For each of a passenger a single purpose is allotted that is noperson have two purpose of travelling UK under this data. Residential status: This defines the national residential status of the travellers visitingUK. This is dived into two subheading only that is UK resident and oversea resident. All thosepassengers who are coming from different nations are includes under a single category ofoversea resident. Duration : defines the length of stay in UK and the visit is recorded as per the nightsstayed in UK. This is rerecorded as departure of the overseas resident and the arrival of UKresident. Country: this category defines the place of resident of each of the person either a UKresident or a overseas resident who have visited UK in the third quarter of 2017. There arealmost 65-70 nation which from where travellers have visited UK ad all mentioned in the data.Package: define the travelling pattern of the visitors to UK as whether they have comealone or have came with group under a tour package. There are two sub heading in thiscategories which is independence and non independent (Agresti, 2018). The former one definesthat the traveller have came independently and the latter one denotes that visitors have comeunder a tour package. Sampling: defines the sizes of the sample for this data the range varies from 1-71.Thesample depicts that number of people from the main IPS used to support each row of2
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