1. INFORMATION VISUALIZATION& GRAPHICS Dr. N. Sai Bhaskar Reddy firstname.lastname@example.org
2. A TOOL USEFUL FOR SELECTION OF COLOURS FOR THE BLACK AND WHITE PRINTOUTS
3. ANALYSIS OF % OF FEMALE LITERATES& % OF CHILDREN LESS THAN 6 YEARS– MAHABUBNAGAR DISTRICT
4. This analysis was done to see if there is anypositive relationship between the female literacyand the family planning, with reference to the 2001census data of Mahabubnagar District.The scatter plots and the trend line graphic toolswere used for this exercise.Although in some Mandals some positivecorrelation trends are observable but are it is notconsiderable.
5. DRINKING WATER ANALYSIS, ANANTHAPUR DISTRICT
6. The conditional format and bar graphs are used forclassification of adequate, inadequate drinking waterMandals in Ananthapur District. Finally the Mandals weredivided into 4 classes.Class 1: <25 lts per day per person. Which are most important,measures for the availability of drinking water need to be taken upin these habitations immediately on priority.Class 2 : In these Mandals the no. of habitations are more andproportionately the percentage of villages with water problem arealso high.Class 3 : In these Mandals the percentage of habitations withacute problem and also with 25 to 50 lts of PCA are also more.Class 4 : These are better off villages; where the sanitation andprotection measures are needed to be take-up.
7. FLUORIDE FLUORIDE EFFECTED HABITATIONS ANANTHAPUR DISTRICT 31.52 percent of the habitations are not 3,000 2,500 having safe drinking water (i.e., >2 ppm of Fluoride). The fluoride affectedNO OF HABITATIONS 2,000 habitations are found spatially distributed 1,500 as local geology also plays an important. 1,000 500 0 FL < 0 FL = 2 FL = 3 FL > 4 IN PPM
8. HEALTH DATA ANALYSIS 2001 - ANDHRA PRADESH, INDIAThe Objective is to identify the seasonality of the occurrence ofdiseases and most commonly occurring diseases.The analysis would be helpful for early planning and mitigation.All other diseases constitute very high percentage up to 73.52percent; therefore the conclusions are related to the defined26.48 percent diseases, which are categorized into 28 types.For analysis weightage is given to each of the disease andconditional formatting is done for sorting and classification.
10. CODING OF THE SPATIAL INFORMATION AND RELATIONSHIPSIt is always preferable to link Mobile - Immobile Mobile - Mobilethe immobile spatial informationto the mobile information.MOBILE: The things with time SHGs – Watershed Input / Output cost - Activity(here about 5 to 10 years are Immobile - Immobile Immobile - Mobileenvisaged) would change.IMMOBILE: Things remainstatic for longer periods of time Habitation - Watershed Watershed structure – structures Member of UGfor example: Habitation, land,tank, structure, residence, etcArrows indicate theinformation is to be linked to.
11. PRESENTATION OF PICTURESThe presentation of the pictures tothe rural people for betterunderstanding and communication.These learnings were from theworks of Ms. Levy Renvoisy shedeveloped the rules for creatingmeaningful sketches for informationcommunication with the rural people.It helps us to present pictures to thevillagers better for all kinds ofcommunication, learning andunderstanding.